The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 13, 2025
Full time
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation - the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key job responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
May 12, 2025
Full time
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products - the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation - the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key job responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Data Science Manager (Valuations & Pricing) Competitive + Car Allowance + Bonus + Benefits! Hook BCA Posted 6 days ago Ref: FM8-02321 HS Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function - now in its tenth year - sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in As Data Science Manager for our Valuations and Pricing team, you'll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You'll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA's Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We've put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more As the automotive industry changes, we're changing with it - putting our people in the front seat for the journey. We're the number one in what we do for a reason and that's because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.
May 12, 2025
Full time
Data Science Manager (Valuations & Pricing) Competitive + Car Allowance + Bonus + Benefits! Hook BCA Posted 6 days ago Ref: FM8-02321 HS Job Title: Data Science Manager (Valuations & Pricing) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week in either BCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent Who we are! The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry leading British Car Auctions (BCA). Our Data Science function - now in its tenth year - sits across the Constellation Automotive Group and is at the forefront of providing data products and services that help underpin the success of these companies. Our cross-group remit is broad with our models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment. Now, this is where you fit in As Data Science Manager for our Valuations and Pricing team, you'll be responsible for leading the team responsible for our flagship valuation models and commercially aligned pricing models used across the group and industry to value vehicles, provide part-exchange pricing and ultimately maximising profitability within each division. You'll leverage our best-in-class framework to push continuous innovation in these products, working with our Head of Data Science to set the strategy for the Valuations and Pricing team. The ideal candidate will be highly motivated by the opportunity to develop their team through coaching and mentoring, while also being willing to be hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity to have a clear and tangible impact across a group of businesses with senior stakeholder engagement. And you'll be supported by our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and mentor a team of data scientists. Ensuring they achieve their growth goals and deliver anticipated business outcomes. Envision and support the team in implementing new ML solutions to address and prescribe for identified business priorities. Engage and build strong relationships with stakeholders across the group to identify new opportunities, communicate progress with innovations and promote the use of Valuation and Pricing products. Own the roadmap for the Valuations and Pricing team agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Utilisation of models to develop and disseminate market intelligence in a clear and concise manner to BCA's Senior Leadership. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. Knowledge and Experience: Required Skills: Experience engineering machine learning products to a high standard using Python. Excellent team management skills to lead, motivate and grow a diverse team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad data product-set and drive forward the delivery of new products and product features. Strong ability to communicate complex concepts clearly and concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and deliver customer requirements. Experience with continuous integration tools, such as Azure DevOps Pipelines or GitHub Actions, for automating reporting and model deployment. Strong attention to detail, well organised and proactive in identifying and owning issues as they arise. Experience of working in an Agile framework is a plus. Experience in Marketing Data Science or Operational Research is also desirable. We've put everything in place to ensure you thrive. Competitive salaries, strong core values and an excellent benefits package that includes: Company Pension Scheme An Employee Assistance Programme Enhanced maternity, paternity, and adoption leave Access to trained Mental Health First Aiders And so much more As the automotive industry changes, we're changing with it - putting our people in the front seat for the journey. We're the number one in what we do for a reason and that's because of the people we have on our teams. If you want to be a part of a business like this; unrivalled, exciting and appreciative of the work you do, join BCA.
London/Cardiff/UK Remote £105,000 - £140,000 + Benefits About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and services tailored to their needs. From intelligent recommendations and predictive insights to seamless discovery and real-time personalisation, our Machine Learning Scientists tackle challenges that directly improve customer outcomes. Whether it's surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on: A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we'll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models. Your work may involve segmentation models to better understand customer behaviors, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience. The technical approaches you take to help solve customer problems will be very much in your hands and we'll strongly encourage and support experimentation and innovation. We'll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. Your day-to-day: As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You'll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation. Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: What we're doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company. You have experience developing and shipping state of the art ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. You're comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that you (and the people you know) use every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. Nice to haves: Experience working on personalisation problems for consumer applications. Commercial experience writing critical production code and working with microservices. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call. 45 minute call with hiring manager. 1 take home task. 3 x 1-hour video calls with various team members. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: ️ We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
May 12, 2025
Full time
London/Cardiff/UK Remote £105,000 - £140,000 + Benefits About our Machine Learning Team for Personalisation: Personalisation is central to Monzo's mission-to make money work for everyone. By delivering tailored recommendations, proactive insights, and intuitive experiences, we help customers make better financial decisions while strengthening their connection with the bank. Every model we build directly enhances the banking experience, making it more seamless, engaging, and rewarding. Our Personalisation Data team brings together experts across four key disciplines: Analytics Engineers, Data Analysts, Machine Learning Scientists, and Data Scientists. As a Lead Machine Learning Scientist, you'll develop models that make every customer interaction more relevant and timely, ensuring they receive products and services tailored to their needs. From intelligent recommendations and predictive insights to seamless discovery and real-time personalisation, our Machine Learning Scientists tackle challenges that directly improve customer outcomes. Whether it's surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you'll be working on: A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we'll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models. Your work may involve segmentation models to better understand customer behaviors, contextual bandits for optimising real-time decisions, or personalised ranking algorithms that improve search and discovery. You'll also build scalable, explainable, and responsible AI solutions that enhance trust, transparency, and the overall customer experience. The technical approaches you take to help solve customer problems will be very much in your hands and we'll strongly encourage and support experimentation and innovation. We'll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. Your day-to-day: As a technical individual contributor, you'll be providing technical leadership and shipping highly impactful ML-based solutions. You'll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You'll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation. Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: What we're doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company. You have experience developing and shipping state of the art ML architectures to production and delivering business impact. You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices. You're comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that you (and the people you know) use every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You're adaptable, curious and enjoy learning new technologies and ideas. Nice to haves: Experience working on personalisation problems for consumer applications. Commercial experience writing critical production code and working with microservices. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call. 45 minute call with hiring manager. 1 take home task. 3 x 1-hour video calls with various team members. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: ️ We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Job Description The LEGO Group is looking for a Lead Engineer to join our Marketing & Engagement Technology team based in London! Are you skilled at bringing together experts in Data Engineering, Backend Engineering, and MLOps to work toward a shared technical vision? Are you motivated to lead engineering on a product to deliver personalization at scale for the LEGO Group? If that sounds like you join us! No relocation assistance is offered for this position. Core Responsibilities Shape the engineering strategy for the personalisation domain within Consumer & Marketing Technology, balancing current needs with long-term technical direction. Partner cross-functionally with the competency lead, product manager, and senior data scientists to shape requirements and translate them into actionable engineering plans. Collaborate closely across teams to align on architecture, technical approaches, and shared goals ensuring consistency and cohesion in delivery. Lead the design and development of scalable, reusable solutions for some of our most complex and high-impact challenges - spanning machine learning systems and backend architecture. Be a trusted sparring partner to engineers and data scientists - reviewing designs, guiding code quality, and influencing key technical decisions. Mentor and empower engineers across your area, helping them grow through sponsorship, feedback, and knowledge sharing. Play your part in our team succeeding We are building an omnichannel personalisation engine to bring increasingly personalised experiences to LEGO Shoppers in an exciting, relevant, and ethical way. This team consists of data scientists, data engineers and software engineers who collaborate closely to build and serve machine learning recommendation models to power these new experiences at scale across all digital channels. As our Lead Engineer, you will report into the Engineering Director. In addition to your primary focus of driving the technical implementation for your product, you will work with other lead engineers on implementing consistent technical standards across the organization. Do you have what it takes? You lead with curiosity, collaboration, and care. You enjoy taking on sophisticated challenges across subject areas, thrive in multi-functional teams, and communicate ideas clearly-especially through visual tools like architecture diagrams. You're motivated by impact, value security and reliability, and help others grow by sharing knowledge and delegating with intent. You champion inclusivity, lead by example, and advocate for engineering excellence while balancing business goals. Furthermore, your skills include: Leading large-scale engineering efforts across Data Science, ML Engineering, and Software Engineering. Designing and communicating architecture visually (we use the C4 model). Leading data lifecycles and orchestrating data at scale for ML systems. Deep expertise in relational databases and data modelling. Supporting data scientists with tooling, workflows, and model optimisation. Advanced experience with cloud platforms, infrastructure as code (AWS, Terraform, Databricks). Proficiency in SQL and one or more of our core languages, Python 3 / TypeScript; knowledge of core programming principles to adapt to other languages as needed. Building resilient, scalable web APIs to serve ML-powered recommendations. Applying domain-driven design and loosely coupled architecture principles. Setting up and maintaining robust CI/CD pipelines. Running highly available systems with strong observability practices. Collaborating effectively across teams. Contributing to open-source or inner-source projects with thoughtful input. Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible. What's in it for you? Here is what you can expect: Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong. The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. Thank you for sharing our global commitment to Children's Rights. Just imagine building your dream career. Then make it real. Join the LEGO team today.
May 11, 2025
Full time
Job Description The LEGO Group is looking for a Lead Engineer to join our Marketing & Engagement Technology team based in London! Are you skilled at bringing together experts in Data Engineering, Backend Engineering, and MLOps to work toward a shared technical vision? Are you motivated to lead engineering on a product to deliver personalization at scale for the LEGO Group? If that sounds like you join us! No relocation assistance is offered for this position. Core Responsibilities Shape the engineering strategy for the personalisation domain within Consumer & Marketing Technology, balancing current needs with long-term technical direction. Partner cross-functionally with the competency lead, product manager, and senior data scientists to shape requirements and translate them into actionable engineering plans. Collaborate closely across teams to align on architecture, technical approaches, and shared goals ensuring consistency and cohesion in delivery. Lead the design and development of scalable, reusable solutions for some of our most complex and high-impact challenges - spanning machine learning systems and backend architecture. Be a trusted sparring partner to engineers and data scientists - reviewing designs, guiding code quality, and influencing key technical decisions. Mentor and empower engineers across your area, helping them grow through sponsorship, feedback, and knowledge sharing. Play your part in our team succeeding We are building an omnichannel personalisation engine to bring increasingly personalised experiences to LEGO Shoppers in an exciting, relevant, and ethical way. This team consists of data scientists, data engineers and software engineers who collaborate closely to build and serve machine learning recommendation models to power these new experiences at scale across all digital channels. As our Lead Engineer, you will report into the Engineering Director. In addition to your primary focus of driving the technical implementation for your product, you will work with other lead engineers on implementing consistent technical standards across the organization. Do you have what it takes? You lead with curiosity, collaboration, and care. You enjoy taking on sophisticated challenges across subject areas, thrive in multi-functional teams, and communicate ideas clearly-especially through visual tools like architecture diagrams. You're motivated by impact, value security and reliability, and help others grow by sharing knowledge and delegating with intent. You champion inclusivity, lead by example, and advocate for engineering excellence while balancing business goals. Furthermore, your skills include: Leading large-scale engineering efforts across Data Science, ML Engineering, and Software Engineering. Designing and communicating architecture visually (we use the C4 model). Leading data lifecycles and orchestrating data at scale for ML systems. Deep expertise in relational databases and data modelling. Supporting data scientists with tooling, workflows, and model optimisation. Advanced experience with cloud platforms, infrastructure as code (AWS, Terraform, Databricks). Proficiency in SQL and one or more of our core languages, Python 3 / TypeScript; knowledge of core programming principles to adapt to other languages as needed. Building resilient, scalable web APIs to serve ML-powered recommendations. Applying domain-driven design and loosely coupled architecture principles. Setting up and maintaining robust CI/CD pipelines. Running highly available systems with strong observability practices. Collaborating effectively across teams. Contributing to open-source or inner-source projects with thoughtful input. Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible. What's in it for you? Here is what you can expect: Family Care Leave - We offer enhanced paid leave options for those important times. Insurances - All colleagues are covered by our life and disability insurance which provides protection and peace of mind. Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity. Colleague Discount - We know you'll love to build, so from day 1 you will qualify for our generous colleague discount. Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme. Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process. Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong. The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team. The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer. Thank you for sharing our global commitment to Children's Rights. Just imagine building your dream career. Then make it real. Join the LEGO team today.
Lead Product Manager, Search & Recommendations London; Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ Monzo is the seventh biggest bank in the UK with a mission to Make Money Work for Everyone. In the last few years we've built a banking app with very high daily engagement and an NPS that's well above the norm. 10 million UK adults have a Monzo account already, but we have a global ambition and the opportunity to impact hundreds of millions of lives. About the team Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Personal, Joint, Under 16s and 16 - 17 accounts), growing Subscriptions (Extra, Perks and Max), and optimising the overall app structure and experience to help customers get the most out of Monzo. We're now gearing up for our next phase of growth, from 10 million to 20 million customers. As we launch more and more financial products, and our customers' financial lives become more complex, personalising the experience is a key priority. What you'll be working on: As a Lead Product Manager for Search & Recommendations, you'll lead one or more cross-functional teams to define and deliver a strategy that helps customers make the most of Monzo. You'll help build the platform, capabilities and app structure needed to optimise a customer's in-app experience and engagement. That means you'll: Lead the charge: build a product vision and strategy for your area, ensuring alignment with Monzo's goals and an exceptional customer experience. Communicate effectively: you get people inspired by the product vision and you share the right context with the right people at the right time. Collaborate seamlessly: partner with engineering, design, data, research, marketing and other teams across Monzo to create a strategy and deliver. Deliver impact: define, deliver and measure the impact of the customer-focused personalisation and discovery experiences you create. You should apply if: You are a seasoned product manager, and have led high-performing teams to ship world-class products at a fast growing company. You have a track record of leading consumer personalisation and discovery efforts (search or recommendation systems) that drive significant value for customers and the business. You're data-driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex problems. You have good judgement, and have a track record of making good decisions in complex situations where there's often no "right answer". You have the urge and resilience to challenge the status quo and make things better, and are full of creative ideas for how to do so. You can work effectively with a diverse range of people and working styles - spanning engineering, design, data, user research, marketing, legal and compliance - to get stuff done. You're a great storyteller, who is able to motivate, energise and inspire people towards a common goal. You're passionate about building value for customers and not just achieving business results, and are excited about our mission at Monzo. You're intellectually honest about your work's performance, continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. You've mentored other PMs, have the ability to coach others, and can provide clear and constructive feedback to your team and other disciplines. The interview process: Our interview process usually involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership. A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc - at least monthly - meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2023 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please describe your experience that highlights your product strategy, vision, execution and impact at a senior level? Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Keeping your data safe is really important to us. Select Please confirm your UK Right to Work status. Select We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Identity survey Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.
May 10, 2025
Full time
Lead Product Manager, Search & Recommendations London; Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ Monzo is the seventh biggest bank in the UK with a mission to Make Money Work for Everyone. In the last few years we've built a banking app with very high daily engagement and an NPS that's well above the norm. 10 million UK adults have a Monzo account already, but we have a global ambition and the opportunity to impact hundreds of millions of lives. About the team Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Personal, Joint, Under 16s and 16 - 17 accounts), growing Subscriptions (Extra, Perks and Max), and optimising the overall app structure and experience to help customers get the most out of Monzo. We're now gearing up for our next phase of growth, from 10 million to 20 million customers. As we launch more and more financial products, and our customers' financial lives become more complex, personalising the experience is a key priority. What you'll be working on: As a Lead Product Manager for Search & Recommendations, you'll lead one or more cross-functional teams to define and deliver a strategy that helps customers make the most of Monzo. You'll help build the platform, capabilities and app structure needed to optimise a customer's in-app experience and engagement. That means you'll: Lead the charge: build a product vision and strategy for your area, ensuring alignment with Monzo's goals and an exceptional customer experience. Communicate effectively: you get people inspired by the product vision and you share the right context with the right people at the right time. Collaborate seamlessly: partner with engineering, design, data, research, marketing and other teams across Monzo to create a strategy and deliver. Deliver impact: define, deliver and measure the impact of the customer-focused personalisation and discovery experiences you create. You should apply if: You are a seasoned product manager, and have led high-performing teams to ship world-class products at a fast growing company. You have a track record of leading consumer personalisation and discovery efforts (search or recommendation systems) that drive significant value for customers and the business. You're data-driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex problems. You have good judgement, and have a track record of making good decisions in complex situations where there's often no "right answer". You have the urge and resilience to challenge the status quo and make things better, and are full of creative ideas for how to do so. You can work effectively with a diverse range of people and working styles - spanning engineering, design, data, user research, marketing, legal and compliance - to get stuff done. You're a great storyteller, who is able to motivate, energise and inspire people towards a common goal. You're passionate about building value for customers and not just achieving business results, and are excited about our mission at Monzo. You're intellectually honest about your work's performance, continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. You've mentored other PMs, have the ability to coach others, and can provide clear and constructive feedback to your team and other disciplines. The interview process: Our interview process usually involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership. A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on What's in it for you: ️ We can help you relocate to the UK We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc - at least monthly - meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2023 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please describe your experience that highlights your product strategy, vision, execution and impact at a senior level? Select A US Person is defined as someone who: was born in the United States (US) has at least 1 parent who was born in the US is a naturalised citizen of the US is a green card holder is a US tax resident Keeping your data safe is really important to us. Select Please confirm your UK Right to Work status. Select We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. If you'd like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers). If you'd like to, please spell out your name how it's pronounced so we know how to say it. Identity survey Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is: Voluntary . And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. Anonymous to Monzo . We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. How would you describe your gender identity? Select Do you identify as transgender? Select What's your sexual orientation? Select Do you identify as having a disability? Select Do you consider yourself to be neurodivergent? Select How would your describe your ethnicity? Select By checking this box, I consent to Monzo collecting, storing, and processing my responses to the demographic data surveys above.
Lead Product Manager, Search & Recommendations London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo. Monzo is the seventh biggest bank in the UK with a mission to Make Money Work for Everyone. In the last few years we've built a banking app with very high daily engagement and an NPS that's well above the norm. 10 million UK adults have a Monzo account already, but we have a global ambition and the opportunity to impact hundreds of millions of lives. About the team Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Personal, Joint, Under 16s and 16 - 17 accounts), growing Subscriptions (Extra, Perks and Max), and optimising the overall app structure and experience to help customers get the most out of Monzo. We're now gearing up for our next phase of growth, from 10 million to 20 million customers. As we launch more financial products, and our customers' financial lives become more complex, personalising the experience is a key priority. What you'll be working on: As a Lead Product Manager for Search & Recommendations, you'll lead one or more cross-functional teams to define and deliver a strategy that helps customers make the most of Monzo. You'll help build the platform, capabilities and app structure needed to optimise a customer's in-app experience and engagement. That means you'll: Lead the charge: build a product vision and strategy for your area, ensuring alignment with Monzo's goals and an exceptional customer experience. Communicate effectively: you get people inspired by the product vision and you share the right context with the right people at the right time. Collaborate seamlessly: partner with engineering, design, data, research, marketing and other teams across Monzo to create a strategy and deliver. Deliver impact: define, deliver and measure the impact of the customer-focused personalisation and discovery experiences you create. You should apply if: You are a seasoned product manager, and have led high-performing teams to ship world-class products at a fast-growing company. You have a track record of leading consumer personalisation and discovery efforts (search or recommendation systems) that drive significant value for customers and the business. You're data-driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex problems. You have good judgement, and have a track record of making good decisions in complex situations where there's often no "right answer". You have the urge and resilience to challenge the status quo and make things better, and are full of creative ideas for how to do so. You can work effectively with a diverse range of people and working styles - spanning engineering, design, data, user research, marketing, legal and compliance - to get stuff done. You're a great storyteller, who is able to motivate, energise and inspire people towards a common goal. You're passionate about building value for customers and not just achieving business results, and are excited about our mission at Monzo. You're intellectually honest about your work's performance, continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. You've mentored other PMs, have the ability to coach others, and can provide clear and constructive feedback to your team and other disciplines. The interview process: Our interview process usually involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour-long interviews to assess Project Walkthrough, Case Study and Leadership. A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. What's in it for you: We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc - at least monthly - meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Please describe your experience that highlights your product strategy, vision, execution, and impact at a senior level?
May 09, 2025
Full time
Lead Product Manager, Search & Recommendations London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo. Monzo is the seventh biggest bank in the UK with a mission to Make Money Work for Everyone. In the last few years we've built a banking app with very high daily engagement and an NPS that's well above the norm. 10 million UK adults have a Monzo account already, but we have a global ambition and the opportunity to impact hundreds of millions of lives. About the team Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Personal, Joint, Under 16s and 16 - 17 accounts), growing Subscriptions (Extra, Perks and Max), and optimising the overall app structure and experience to help customers get the most out of Monzo. We're now gearing up for our next phase of growth, from 10 million to 20 million customers. As we launch more financial products, and our customers' financial lives become more complex, personalising the experience is a key priority. What you'll be working on: As a Lead Product Manager for Search & Recommendations, you'll lead one or more cross-functional teams to define and deliver a strategy that helps customers make the most of Monzo. You'll help build the platform, capabilities and app structure needed to optimise a customer's in-app experience and engagement. That means you'll: Lead the charge: build a product vision and strategy for your area, ensuring alignment with Monzo's goals and an exceptional customer experience. Communicate effectively: you get people inspired by the product vision and you share the right context with the right people at the right time. Collaborate seamlessly: partner with engineering, design, data, research, marketing and other teams across Monzo to create a strategy and deliver. Deliver impact: define, deliver and measure the impact of the customer-focused personalisation and discovery experiences you create. You should apply if: You are a seasoned product manager, and have led high-performing teams to ship world-class products at a fast-growing company. You have a track record of leading consumer personalisation and discovery efforts (search or recommendation systems) that drive significant value for customers and the business. You're data-driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex problems. You have good judgement, and have a track record of making good decisions in complex situations where there's often no "right answer". You have the urge and resilience to challenge the status quo and make things better, and are full of creative ideas for how to do so. You can work effectively with a diverse range of people and working styles - spanning engineering, design, data, user research, marketing, legal and compliance - to get stuff done. You're a great storyteller, who is able to motivate, energise and inspire people towards a common goal. You're passionate about building value for customers and not just achieving business results, and are excited about our mission at Monzo. You're intellectually honest about your work's performance, continually striving for improvement. You're a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. You've mentored other PMs, have the ability to coach others, and can provide clear and constructive feedback to your team and other disciplines. The interview process: Our interview process usually involves 4 main stages: Initial Call with Hiring Manager Final Loop, consisting of x3 hour-long interviews to assess Project Walkthrough, Case Study and Leadership. A final stage with a VP or CPO within the Product team Our average process takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. What's in it for you: We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc - at least monthly - meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here . Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Please describe your experience that highlights your product strategy, vision, execution, and impact at a senior level?
Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire , and we welcome applicants from across the UK. About the Role Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability to prioritise multiple projects . Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style. This is an exciting opportunity to play a pivotal role in shaping data-driven customer experiences for a leading eCommerce business . If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!
May 08, 2025
Full time
Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire , and we welcome applicants from across the UK. About the Role Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability to prioritise multiple projects . Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style. This is an exciting opportunity to play a pivotal role in shaping data-driven customer experiences for a leading eCommerce business . If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!
Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire , and we welcome applicants from across the UK. About the Role Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability to prioritise multiple projects . Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style. This is an exciting opportunity to play a pivotal role in shaping data-driven customer experiences for a leading eCommerce business . If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!
May 08, 2025
Full time
Data Science Manager / Up to £100,000 / Permanent / 2 days a week onsite We are looking for a Data Science Manager to join a growing Data Science team within a leading eCommerce organisation. This is an exciting opportunity to drive significant commercial value in a fast-paced environment. This role will focus on optimising how we present content to customers-ensuring the right products are surfaced at the right time and through the right channels. We are looking for a highly skilled data scientist with a strong technical foundation and excellent communication skills, combined with a passion for applying data science to real-world commercial challenges. This is a hybrid role, offering a mix of office and remote working. The company's main headquarters are based in Leicestershire , and we welcome applicants from across the UK. About the Role Collaborate with teams across the business to understand challenges and own the technical solutions, identifying further opportunities to deliver value. Search optimisation - vector embedding of search terms and product items Deep learning and regression modelling for product profitability forecasts Work closely with data engineering and software development teams to define technical requirements and ensure timely delivery. Analyse large volumes of data from various sources, including transactional, demographic, and online data, to build predictive models. Apply machine learning techniques to personalise customer experiences and optimise content presentation. Design and execute robust testing strategies to validate hypotheses and measure commercial impact. Present insights and recommendations to senior stakeholders, including C-suite executives. Proactively identify opportunities for personalisation and customer experience improvements. About You Strong expertise in a broad range of data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with keen attention to detail. Excellent communication skills-comfortable presenting insights to a variety of audiences and crafting a compelling data-driven narrative. Effective time management and ability to prioritise multiple projects . Enthusiastic and eager to learn, with a collaborative yet self-sufficient working style. This is an exciting opportunity to play a pivotal role in shaping data-driven customer experiences for a leading eCommerce business . If you're passionate about data science and looking for a role where you can make a real commercial impact, we'd love to hear from you!
