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Join us as a Founder in Residence to revolutionise industrial water recycling You'll work closely with the DSV team and the current Founder in Residence for this project to co-found a company that aims to revolutionise industrial wastewater treatment with novel plasma technology. Our approach offers rapid, compact, and highly effective treatment of high-strength hazardous effluents across multiple industries, including petrochemicals, chemicals, oil and gas, food and beverage, paints and coatings, and paper manufacturing. We're after a co-founder with strong commercial acumen and industry expertise to drive market entry and growth. Experience in commercialising innovative technologies within industrial sectors, particularly in wastewater management or related fields is a must. Experience in B2B sales targeting major industrial facilities, start-up and fundraising experience, or established connections to key industrial hubs internationally would be particularly valuable. Your role will be crucial in: Developing and executing go-to-market strategies for various industrial sectors Building strategic partnerships with industry leaders and key stakeholders Securing funding and driving rapid business growth Once the new venture is incorporated and spun-out of DSV, you and your co-founders will own the majority stake in the business and continue receiving support from the DSV team post-spinout. The Opportunity Industry requires the use of colossal volumes of water every day, with 40% of water demand in industrialised nations going to industrial purposes. Sources of clean, accessible water are dwindling due to unsustainable abstraction and contamination of our freshwater resources. Industry's growing water demands, coupled with depleting freshwater resources, have led to tighter regulations and a need for sustainable water supplies. Wastewater, an underutilised resource, presents a potential solution. However, current treatment methods are often complex, costly, and inefficient, failing to align with industry's needs. We're developing a ground-breaking plasma-based technology concept for industrial wastewater treatment - a compact device that rapidly processes high volumes of concentrated effluent at unprecedented speeds. Our approach offers multiple benefits: preventing toxic and methanogenic sludge generation, destroying persistent pollutants, eliminating fouling risks, and producing valuable byproducts. We're focused on outperforming existing technologies while maintaining competitive treatment costs: by enabling near-instantaneous transformation of hazardous wastewater, we alleviate operational bottlenecks and reduce expenses associated with standard water treatment and waste disposal, effectively addressing the practical challenges faced by companies worldwide. By joining us, you'll be working towards revolutionising industrial water management across these critical sectors, addressing a significant global challenge while creating substantial value for industries worldwide. Who Should Apply Most suitable candidates will likely meet multiple of the following criteria (we don't expect you to meet all): MBA or equivalent experience in business development, sales, or marketing within industrial sectors; Proven track record in commercialising new technologies, particularly in water treatment, plasma systems, or related industrial equipment; Extensive experience in B2B sales, specifically targeting major industrial facilities such as oil refineries, chemical plants, or similar operations with complex effluent management needs; Strong understanding of the wastewater management challenges faced by heavy industries; Demonstrated ability to build and maintain relationships with key decision-makers in operational roles within target industries; Experience in startup leadership, preferably in companies that have successfully brought innovative technologies to market in industrial sectors; Proven ability to develop and execute go-to-market strategies for complex, high-value industrial solutions; Skilled in negotiating and closing deals with large industrial clients, including navigating complex procurement processes; Deep network within relevant industries, particularly in Europe, Middle East, or Asia; Experience in securing funding, managing investor relationships, and driving business growth in a startup environment; Strong project management skills, with the ability to coordinate between technical development and commercial objectives; Excellent communication skills, capable of translating complex technical benefits into compelling value propositions for industrial clients; Strategic thinker with the ability to identify and capitalize on market opportunities in the industrial water treatment sector. Personal attributes we value very highly: Strategic Thinker: Ability to see the big picture and develop long-term business strategies; Results-Driven: Focused on achieving tangible outcomes and meeting business objectives; Relationship Builder: Exceptional interpersonal skills with the ability to forge strong connections across diverse stakeholder groups; Resilient: Thrives in high-pressure environments and maintains composure when facing challenges; Persuasive Communicator: Articulate in presenting complex ideas and adept at influencing decision-makers; Entrepreneurial Spirit: Self-motivated with a passion for building and growing businesses; Adaptable: Flexible in approach and able to pivot strategies in response to market dynamics. Our Offer By joining DSV, you will be part of a team of operators who have founded companies and led the translation of science at some of the most respected universities, charities, funds, and government agencies. Here's what we offer: Access to optimised, purpose-built, proprietary tools, resources, and processes to help create high-impact ventures from scratch; Opportunity area-specific know-how from our network of Partners and Advisors; Up to £250k in investment to incorporate the new venture and develop early proof-of-concept data; Guaranteed income of £4,166 per month paid as a consultancy fee until the company is launched and the pre-seed investment is secured; Majority equity stake in the new company for you and your co-founders; Continuous post-spinout support, including fundraising, commercial partnerships, recruitment, and team-building; Collaborative support from dozens of Founders currently at DSV across sectors. About DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin-out, and invest in science companies, combining available scientific knowledge and founder-type scientists into high-impact ventures. Operating in four sectors-Pharmaceuticals, Climate, Agriculture, and Computation-we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions.

Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. At Trustpilot, we are at the forefront of revolutionizing the Product space. As we propel towards becoming the engine for Product-oriented growth, we are searching for innovative professionals like you to join us on this remarkable journey. Our team comprises strategic leaders in product development, motivated by an unwavering commitment to delivering unmatched customer value at scale. We need an experienced and skilled Senior Product Manager to take charge of owning the discovery and execution of our strategic global roadmaps. If you are enthusiastic about implementing innovation, eager to take ownership of significant projects, and keen on making a global impact, this is the opportunity you've been waiting for. Join Trustpilot's Product Management team and have an integral part in shaping the future of our diverse and rapidly growing organization. Together, let's push the boundaries of what's possible in the Product space and create a lasting impact on our users worldwide. We are currently hiring within our Trust & Transparency team. A huge part of what we do at Trustpilot is Trust (it's in the name!). We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour. We have several cross functional teams devoted to Trust such as Content Integrity to discover fraudulent activity, and data scientists working on spam models. What you'll be doing: Lead cross-functional agile teams, including remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. Inspire and motivate teams to achieve their best performance, establishing a culture of high collaboration and innovation. We are looking for people with: Significant product management experience working within agile teams, with a proven history of delivering effective digital products. Comprehensive understanding of product management principles, including product strategy, roadmap development, and agile methodologies (Scrum, Kanban). Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Experience working on B2B or B2C products, ideally in areas such as eCommerce platforms, marketing automation, or customer engagement. Passion for emerging technologies such as AI/ChatGPT and their application in product innovation and user experience. Great communication and stakeholder management skills, with the ability to align diverse teams around a common vision. What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

Assala Energy is a dynamic Oil and Gas Exploration and Production company committed to the sustainable development of its assets in Gabon. We value a collaborative approach, promote diversity, and prioritize safety and integrity in all our operations. To support the creation and development of data-driven initiatives and facilitate the transition of business processes toward a "Data-Driven" methodology, you will work on the following main deliverables: Provide services in developing predictive systems that aid in the industrialization, production, storage, and maintenance of machine learning models. Offer decision-support analysis solutions in close collaboration with business teams, ensuring data insights inform key decisions. Work alongside the Data Engineering Consultant to design and implement the data platform's infrastructure and data architecture for efficient data extraction, transformation, and loading (ETL). Full scope of work with deliverables and objectives will be made available during a technical validation meeting. This is a contract opportunity offered subject to IR35 compliance checks. Minimum Requirements: Master's degree in Computer Science or equivalent. 2-3 years in data engineering or data science consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake). Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm. Proficiency in English and French is a strong advantage. Detail-oriented, autonomous, and communicative with a strong service focus. Proactive learner with a curiosity for problem-solving and a client-centered approach.

Intelligence & Investigations - San Francisco and London, UK OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real-world deployment and iteratively updating based on what we learn. The Intelligence and Investigations team supports this by identifying and investigating misuses of our products - especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role As a Data Scientist on the Monitoring Operations team, you will be responsible for building systems to proactively identify abuse on OpenAI's products. This includes ensuring we have robust monitoring in place for new products and can sustain monitoring for existing products. You will also respond to critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data and involves working cross-functionally with product, policy, and engineering teams. This role can either be based in our San Francisco or London office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. In this role, you will: Scope and implement monitoring requirements for new product launches. This involves working with Product and Policy teams to understand key risks and working with Engineering teams to ensure we have sufficient data and tooling. Improve processes to sustain monitoring operations for existing products. This includes developing approaches to automate monitoring subtasks. You might thrive in this role if you: Have at least 4 years of experience doing technical analysis, especially in SQL and Python. Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams. Have experience with basic data engineering, such as building core tables or writing data pipelines (not expected to build infrastructure or write production code). Have experience scaling and automating processes, especially with language models. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Chief Technology Officer, London with Middle East travel About us CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, embed life science innovation and boost growth through investment. Our consultancy serves the entire healthcare sector, from healthcare systems and life sciences to health tech and sector suppliers. CF's multi-disciplinary team provides end-to-end services, spanning strategy, finance, performance, organisational improvement, data and digital. As an inclusive and values-driven organisation, we are committed to excellence and are honoured to have received multiple industry awards. With unmatched access to UK healthcare data and specialist data science expertise, our consultants are a driving force for delivering positive and meaningful change. About the role As the Chief Technology Officer (CTO) at CF, you'll be the senior technical leader, driving technology strategy and innovation to support our company's goals. In this key role, you will lead the development and implementation of technology solutions that enhance our services and improve the way we work, ensuring they deliver measurable impact, increase efficiencies, and maximize value for both our clients and CF. Your expertise will be vital in creating solutions not only for our clients but also for our management consulting teams, helping them deliver more effective service, as well as for our internal operations. You'll work closely with clients, colleagues across CF (both technical and non-technical), and our external partners to understand requirements and deliver highly effective solutions. Leading our Data Innovation Team, which includes both a data operations group and technical consultants (data scientists, engineers, software developers), you'll be at the forefront of harnessing data to drive business growth. Your leadership will involve providing oversight, direction, mentorship, and quality assurance, ensuring seamless collaboration with project leaders. Additionally, you'll be responsible for accrediting and managing trusted associates who work with us throughout the year. As CTO, your role will also be pivotal in supporting business development for technical services. You'll collaborate with Partners to build client relationships, form partnerships, contribute to proposals, and plan resources. You'll have the opportunity to position yourself as a trusted industry expert by offering thought leadership and representing CF at networking events and conferences. Staying on top of emerging technologies will be essential in keeping CF at the cutting edge of the healthcare sector. Adaptability and agility are key, as you'll be navigating rapidly evolving priorities and leveraging new opportunities to help CF grow. You'll also ensure the company's tech infrastructure is robust and scalable, working alongside the Partner responsible for Office and Facilities Management and overseeing critical areas like cyber security, ISO 27001 certification, and data protection processes to meet client expectations. On the commercial side, you'll be responsible for the financial performance of the Data Innovation Team, including meeting revenue targets, managing the technology budget, and identifying cost efficiencies. You'll evaluate and recommend technology investments, manage contracts, and mitigate financial risks to maximize company performance. Responsibilities The requirements, responsibilities and duties of the role will include, but are not limited to: Strategy Own the technology strategy that harmonises with and underpins the corporate strategy Collaborating with the corporate team, convert the strategy into the annual business plan for the data innovation team, and set quarterly OKRs for the team to drive its delivery Discover and implement new technologies that yield competitive advantage Spot emerging market trends and disruptions to drive development of CF solutions that address future client challenges Create optimal policy conditions for healthcare advancements through evidence-based thought leadership, taking a proactive stance on key issues Develop and execute plans for evidence generation using real world data Identify and gain access to data that underpins the corporate strategy and understand what is possible to do within safe grounds of information governance Keep abreast of the frontier of AI and other new technologies as they apply to the business itself and the markets we support, and ensure they are adopted and integrated into CF's services and ways of working Identify, develop and maintain key strategic partnerships which enable CF to remain at the cutting edge of technology and present new business opportunities. Business development Grow and nurture a network of technical and technically minded leaders across the breadth of the markets CF serves including clients and data/technology partners Develop a compelling and distinctive personal brand within the data, AI and technology fields valued by CF clients, with a growing reputation as a trusted advisor and thought leader Promote CF as a technology innovator through channels such as networking events, speaking at conferences, organising tech meet-ups and LinkedIn Spot emerging market trends and disruptions to drive development of CF solutions that address future client challenges Support business development activities including proposal development, engaging with prospective clients and pitching for work. Financial management Own the data innovation team revenue target and collaborate with Partners to ensure it is met Manage the financial performance of the data innovation team, ensuring it is profitable and acting with foresight and agility to respond to downturns in performance Manage the technology budget, ensuring strategic resource allocation to achieve objectives while optimising for cost-efficiency Client delivery Collaborates with senior clients to understand their needs and directs teams to produce solutions that have a demonstrable impact in meeting these needs Oversee the development of workplans to deliver on agreed objectives, enabling technical and consulting teams to understand the requirements for delivery Supervise technical and hybrid teams to manage delivery according to agreed timeline and deliverables, ensuring that projects are run to time and resources Bring together the disciplines of data engineering, data science and software engineering to deliver better results Support teams in effective integrated working between consulting and technical teams, setting standardised operating processes to ensure effective operations, and developing the technical knowledge of consulting team members to enable collaboration. Data operations and infrastructure Provide direction to the evolution of data operations in line with corporate strategies and emerging market trends Support the data operations function with the design of technical architecture and infrastructure necessary for scalability, security, reliability and cost effectiveness Lead the development of CF tools and insights, to ensure CF maintains a competitive edge in the use of data in its consulting Develop and maintain internal and external software and infrastructure Engage with consulting leaders to ensure that data operations efficiently meets their needs and maximises our impact with clients. Cyber security and information governance compliance Own the operational elements of cyber security and information governance to ensure safe access to healthcare data within agreed legal and policy frameworks, working in conjunction with the Partner with overall accountability Ensure compliance with data industry standards and regulations Own the build quality assurance process for the internally and externally facing products developed by the team Oversee the data protection processes and ensure these meet the expectations of our clients and partners Be responsible for and lead our ISO 27001 certification, including the development of our information security policies and practices. Team leadership and development Cultivate and lead a high-performing technical team, encouraging collaboration, excellence, innovation, and a culture of ongoing learning and growth Act as a technical mentor for the data innovation team, taking responsibility for the team structure and resource requirements to deliver on the corporate strategy and annual business plan Be the line manager to the most senior colleagues in the data innovation team Provide coaching and mentorship to the wider data innovation team Set out the technical career track and attract technical talent and own the technical requirements for progression within the data innovation team Working with the People Team ensure the training and development offer for data innovation team members contributes to CF being a great place to work Working with the Chief People Officer, understand the technological skills and knowledge required at every level of the company beyond the data innovation team and support the people function to realise these requirements, acting as Faculty for relevant training programmes. . click apply for full job details

Join us as a Founder in Residence to revolutionise industrial water recycling You'll work closely with the DSV team and the current Founder in Residence for this project to co-found a company that aims to revolutionise industrial wastewater treatment with novel plasma technology. Our approach offers rapid, compact, and highly effective treatment of high-strength hazardous effluents across multiple industries, including petrochemicals, chemicals, oil and gas, food and beverage, paints and coatings, and paper manufacturing. We're after a co-founder with strong commercial acumen and industry expertise to drive market entry and growth. Experience in commercialising innovative technologies within industrial sectors, particularly in wastewater management or related fields is a must. Experience in B2B sales targeting major industrial facilities, start-up and fundraising experience, or established connections to key industrial hubs internationally would be particularly valuable. Your role will be crucial in: Developing and executing go-to-market strategies for various industrial sectors Building strategic partnerships with industry leaders and key stakeholders Securing funding and driving rapid business growth Once the new venture is incorporated and spun-out of DSV, you and your co-founders will own the majority stake in the business and continue receiving support from the DSV team post-spinout. The Opportunity Industry requires the use of colossal volumes of water every day, with 40% of water demand in industrialised nations going to industrial purposes. Sources of clean, accessible water are dwindling due to unsustainable abstraction and contamination of our freshwater resources. Industry's growing water demands, coupled with depleting freshwater resources, have led to tighter regulations and a need for sustainable water supplies. Wastewater, an underutilised resource, presents a potential solution. However, current treatment methods are often complex, costly, and inefficient, failing to align with industry's needs. We're developing a ground-breaking plasma-based technology concept for industrial wastewater treatment - a compact device that rapidly processes high volumes of concentrated effluent at unprecedented speeds. Our approach offers multiple benefits: preventing toxic and methanogenic sludge generation, destroying persistent pollutants, eliminating fouling risks, and producing valuable byproducts. We're focused on outperforming existing technologies while maintaining competitive treatment costs: by enabling near-instantaneous transformation of hazardous wastewater, we alleviate operational bottlenecks and reduce expenses associated with standard water treatment and waste disposal, effectively addressing the practical challenges faced by companies worldwide. By joining us, you'll be working towards revolutionising industrial water management across these critical sectors, addressing a significant global challenge while creating substantial value for industries worldwide. Who Should Apply Most suitable candidates will likely meet multiple of the following criteria (we don't expect you to meet all): MBA or equivalent experience in business development, sales, or marketing within industrial sectors; Proven track record in commercialising new technologies, particularly in water treatment, plasma systems, or related industrial equipment; Extensive experience in B2B sales, specifically targeting major industrial facilities such as oil refineries, chemical plants, or similar operations with complex effluent management needs; Strong understanding of the wastewater management challenges faced by heavy industries; Demonstrated ability to build and maintain relationships with key decision-makers in operational roles within target industries; Experience in startup leadership, preferably in companies that have successfully brought innovative technologies to market in industrial sectors; Proven ability to develop and execute go-to-market strategies for complex, high-value industrial solutions; Skilled in negotiating and closing deals with large industrial clients, including navigating complex procurement processes; Deep network within relevant industries, particularly in Europe, Middle East, or Asia; Experience in securing funding, managing investor relationships, and driving business growth in a startup environment; Strong project management skills, with the ability to coordinate between technical development and commercial objectives; Excellent communication skills, capable of translating complex technical benefits into compelling value propositions for industrial clients; Strategic thinker with the ability to identify and capitalize on market opportunities in the industrial water treatment sector. Personal attributes we value very highly: Strategic Thinker: Ability to see the big picture and develop long-term business strategies; Results-Driven: Focused on achieving tangible outcomes and meeting business objectives; Relationship Builder: Exceptional interpersonal skills with the ability to forge strong connections across diverse stakeholder groups; Resilient: Thrives in high-pressure environments and maintains composure when facing challenges; Persuasive Communicator: Articulate in presenting complex ideas and adept at influencing decision-makers; Entrepreneurial Spirit: Self-motivated with a passion for building and growing businesses; Adaptable: Flexible in approach and able to pivot strategies in response to market dynamics. Our Offer By joining DSV, you will be part of a team of operators who have founded companies and led the translation of science at some of the most respected universities, charities, funds, and government agencies. Here's what we offer: Access to optimised, purpose-built, proprietary tools, resources, and processes to help create high-impact ventures from scratch; Opportunity area-specific know-how from our network of Partners and Advisors; Up to £250k in investment to incorporate the new venture and develop early proof-of-concept data; Guaranteed income of £4,166 per month paid as a consultancy fee until the company is launched and the pre-seed investment is secured; Majority equity stake in the new company for you and your co-founders; Continuous post-spinout support, including fundraising, commercial partnerships, recruitment, and team-building; Collaborative support from dozens of Founders currently at DSV across sectors. About DSV Deep Science Ventures (DSV) is on a mission to create a future in which both humans and the planet can thrive. We use our unique venture creation process to create, spin-out, and invest in science companies, combining available scientific knowledge and founder-type scientists into high-impact ventures. Operating in four sectors-Pharmaceuticals, Climate, Agriculture, and Computation-we tackle the challenges defining these areas by taking a first principles approach and partnering with leading institutions.

Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 18 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics. Why? Refurbished tech helps lower our collective environmental impact. We have indeed contributed to avoid the production of more than 1,000,000 tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. ABOUT THE ROLE: We are looking for a strategic and highly skilled Marketing Analytics Lead to drive data-driven decision-making in our marketing initiatives. You will leverage your expertise in Marketing, Data analytics, martech & media tracking to unlock actionable insights and scale marketing strategies. This role is ideal for an analytical leader passionate about marketing data, cross-functional collaboration, and innovation. A proven record in impact measurement-such as evaluating multi-channel campaign effectiveness-is essential. If you thrive on crafting scalable data strategies and influencing decisions through analytics, keep reading-you're in the right place. YOUR MISSION (IF YOU ACCEPT IT): Marketing Analytics: Serve as the primary analytics partner for marketing managers, collaborating on our incrementality platform, measurement frameworks and data-driven strategies. Translate complex datasets into actionable insights, clearly presenting recommendations to senior leadership. Martech & Data Collection: Challenge our MarTech setup to collect, process and leverage marketing insights. Lead media tracking efforts to measure campaign effectiveness and ensure optimal ROI across channels. Ensure data quality, accuracy, and scalability while maintaining robust workflows. Analytics Engineering: Lead analytics engineers to build and optimize scalable data pipelines in BigQuery and support marketing analytics needs. Stakeholder Management: Partner with marketing, tech, product, and cross-functional teams to align data opportunities with business objectives. Maintain effective communication with stakeholders to ensure the delivery of data-driven solutions. Leadership: Cultivate the data culture and data-driven decision-making across the organisation. Lead and mentor a team of analysts, data scientists & analytics engineers to foster a high-performance culture. YOU ARE IN THE RIGHT PLACE IF: Minimum 7 years of experience in marketing analytics with proven experience in building & scaling incrementality platforms, brand measurement and media efficiency frameworks. Comprehensive knowledge of marketing strategies, including performance channels interactions, brand media, and online/offline activations. Strong understanding of web tracking and tagging strategy and implementation (GA, GTM, attribution). Proficiency with MarTech systems and their role in marketing analytics (CDP, CMP, Analytics tools, CRM platforms, MMP ). Strong ability to manage cross-functional teams and collaborate with diverse stakeholders. A proactive, results-driven approach to tackling analytics challenges in a fast-paced environment. Knowledge of data science applications for marketing, such as predictive modeling or clustering. Familiarity in BigQuery and advanced skills in data analytics. Excellent communication and project management skills, with the ability to simplify complex concepts. WHY SHOULD YOU JOIN US? A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! A meaningful company: we became a mission-driven company in January 2022. Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges: you will have the freedom to innovate and adopt new ideas! Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! Leadership Academy by Back Market: "be a coach not a dictator" is at the core of this program! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is a unique experience we take by heart. An attractive salary, equity and a host of benefits including: Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc. Remote friendly company: up to 2 days of remote work per week! One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. Be part of one of our Employee Resource Groups created around shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, deliver user training and coaching, and co-developing data science projects from design to deployment. Responsibilities include (but are not limited to): Lead technically the delivery of client use case developments or migrations Scope and develop production-level data science projects for our customers across different industries and use cases Help users discover and master the Dataiku platform, via demos, instructor led user trainings, and ongoing consultative support Provide strategic input to the customer and internal account teams that help make our customers successful Raise risks and issues with the Dataiku engagement managers for a successful time to value and implementation Diplomatically tackle complex technical matters and challenging situations with partners and customers Provide data science expertise both to customers, partners and internally to Dataiku's sales and marketing teams Inspire trust and demonstrate leadership in the field of AI, Responsible AI, and Generative AI to your peers, and to our customers and prospects Contribute to the selling of the services in your region by bringing new service leads and scoping additional projects Develop custom Python-based "plugins" in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku's functionality Success Profile: Technical lead experience in the space of data science and analytics Curiosity and a desire and ability to learn new topics and skills at pace Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku's customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences Over 3 years of experience with Python and SQL Over 4 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualization in Python and R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Language: Must have bilingual proficiency in Spanish and English Travel: Willingness to travel up to 10% Bonus points for any of these: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges: $140,000 - $180,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate.

Role overview: Ipsos MMA has been a leader in driving innovative analytic solutions for 25 years. Since 2010 Ipsos MMA has grown over 400%. Candidates need to be able to work and thrive in an evolving, growth-oriented business focused on winning and adding measurable, material value to our clients' business. Ideal candidates will have strong skills in data management with an emphasis on analytic related projects, exemplary focus on quality management, attention to detail and a commitment to project and data excellence. We are looking for Senior Analytics Managers who possess excellent communication skills, have a desire to work with senior executives at some of the world's leading companies, and possess an ability to work with Ipsos MMA data science teams to help translate technical outputs into meaningful recommendations for these clients. Ipsos UK offers a hybrid working environment and this person will be required to be based out of our London office regularly. What will I be doing? Work with and develop successful relationships based upon trust and value-creation with senior executives within key clients in order to create long-term, sustainable relationships. Effectively work with clients to diagnose solutions to key organizational challenges and develop value-based roadmaps that support the application of Ipsos MMA's analytic solutions to solve client business issues on a continuous and repeatable basis. Work closely with internal Ipsos MMA management and teams to scope, deliver and successfully implement client solutions. Work with client and internal teams to translate data and model results into tactical and strategic insights that are complete, accurate, relevant, understandable and applicable to client businesses and needs. Present to and work with clients to integrate recommendations into business processes. Work with our data scientists to provide coaching, training, mentoring, inspiration and developmental guidance for their careers in a manner that supports team and company growth and profitability. Work with team and operations to maximize project delivery quality, timeliness and efficiencies in order to deliver high-value and relevant insights to our clients as quickly and effectively as possible. Grow existing client businesses and relationships while working with key Ipsos MMA executives to cultivate and develop new clients. This role will involve some travel to Europe which could amount to about 40% of the time during peak delivery periods. What do I need to bring with me? Experience of proven leadership in analytics and in working with cross-functional internal and client teams. A broad understanding of core and emerging analytics methods and approaches and how they can be deployed to drive value within and across client organizations, with primary focus areas including marketing mix modelling, customer attribution, pricing and promotion, brand equity management and/or forecasting. A strong understanding of media and emerging media and applicable analytics is essential. Ability to work collaboratively and in partnership with senior team executives and the analytics team to produce cohesive, well-thought out, value-based presentations for clients. A diverse mix of data management and analytic vertical experience, including a mix of retail, pharma, financials/banking, insurance, restaurant, durable goods, B2B, automotive and CPG is preferred. Experience and/or ability to lead projects and take full responsibility for the projects. What's in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a great range of flexible benefits to suit your personal needs. For roles at Research Manager level and above we also offer private healthcare. In addition to this we have a fantastic Learning & Development offer delivered through a mix of face to face, online or on-demand; you can read more by clicking here . We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. Ipsos is committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We also recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients.

The role As a Technical Product Manager - Data, you will be working closely with our Head of Product, Director of Data, and other key stakeholders in the business, and you'll be expected to help steer the direction of some of our most strategic and critical Data Products. These products span from playing a key part in InsurX' visionary direction on the one hand, to forming a robust backbone for day to day operations in a regulated environment on the other. At InsurX data lives at the heart of what we do. As a marketplace business, we use data to match demand for insurance (from brokers) with the right capacity (capital to back risks) from insurers. We then analyse the market to provide rich data-driven insights back to key decision-makers, helping expand the market into new classes of insurance to provide coverage for the benefit of the most people. Over half the technical team at InsurX is comprised of Data Scientists, Data Engineers and Analysts. Your job will be to work closely with these stakeholders - as well as technical staff at the Insurers and Brokers we work with (Underwriters, Actuaries and Brokers) - to find Opportunities to deliver genuine value. You'll then be working directly within product squads to deliver exciting new data-led products - dashboarding, insights and reporting tools - to be used by insurers and brokers placing millions of dollars of insurance risk per day. This role reports to our Head of Product. You will be responsible for: Delivering on a variety of data product opportunities at InsurX, including building out a new Insights Platform for delivering rich data insights to insurers and brokers Leading effective research and discovery processes - with a special focus on using our wealth of internal and industry data to unlock opportunities for delivering value for customers and the business Working within a cross-functional squad to deliver on opportunities you discover Shaping the work, writing good scoping docs and engineering tickets, and managing your workstream and backlog Specifying testing and success criteria for deliverables and product acceptance Evidencing strong prioritisation skills and an ability to manage expectations and commitments to commercial teams and external stakeholders Analysing data and reporting on the performance of initiatives you own Helping to shape our roadmap and reporting on progress to our Head of Product and the wider business Working alongside the Heads of Product and Data to drive data-driven insights into all aspects of InsurX' Product function and the wider business About you We're looking for someone who: Has a minimum of 5 years experience in Product Management, ideally in a technical PM or PO role Has a technical background, or solid grounding in Computer Science, engineering or data science Is adept at deriving insights from data - seeking out opportunities and telling compelling stories Can work with external teams on integrations and gathering technical requirements Is capable of bridging the gap between technical and non-technical stakeholders - dealing with important commercial clients on the one hand, whilst specifying good engineering requirements and tickets on the other Is a natural collaborator with a track record of supporting multi-disciplinary teams to succeed Is a self-starter, with a diligent, can-do attitude and a great eye for delivering quality experiences Is adept at using various product management & analytics tools such as Jira, Power BI, Figma, Miro, Airfocus. Experience with SQL and common analytics languages such as Python are favourable nice-to-haves. We'd love to hear from you if: You've worked on successful data-centric Products in a fast-paced startup or scaleup environment You have a knack for producing user-friendly experiences that include dealing in rich, complex data You have a passion for understanding user needs and solving problems You are curious and love learning new things A plus, though not required - you have experience of the Insurance industry

Our vision is to be the universal symbol of trust, bringing consumers and businesses together through reviews. We are well on our way-but there's still an exciting journey ahead. Join us at the heart of trust. At Trustpilot, we are at the forefront of revolutionizing the Product space. As we propel towards becoming the engine for Product-oriented growth, we are searching for innovative professionals like you to join us on this remarkable journey. Our team comprises strategic leaders in product development, motivated by an unwavering commitment to delivering unmatched customer value at scale. We need an experienced and skilled Senior Product Manager to take charge of owning the discovery and execution of our strategic global roadmaps. If you are enthusiastic about implementing innovation, eager to take ownership of significant projects, and keen on making a global impact, this is the opportunity you've been waiting for. Join Trustpilot's Product Management team and have an integral part in shaping the future of our diverse and rapidly growing organization. Together, let's push the boundaries of what's possible in the Product space and create a lasting impact on our users worldwide. We are currently hiring within our Trust & Transparency team. A huge part of what we do at Trustpilot is Trust (it's in the name!). We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour. We have several cross functional teams devoted to Trust such as Content Integrity to discover fraudulent activity, and data scientists working on spam models. What you'll be doing: Lead cross-functional agile teams, including remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. Inspire and motivate teams to achieve their best performance, establishing a culture of high collaboration and innovation. We are looking for people with: Significant product management experience working within agile teams, with a proven history of delivering effective digital products. Comprehensive understanding of product management principles, including product strategy, roadmap development, and agile methodologies (Scrum, Kanban). Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Experience working on B2B or B2C products, ideally in areas such as eCommerce platforms, marketing automation, or customer engagement. Passion for emerging technologies such as AI/ChatGPT and their application in product innovation and user experience. Great communication and stakeholder management skills, with the ability to align diverse teams around a common vision. What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy, LinkedIn Learning, and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. Apply for this job 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 Tell us who you are! Please select one. I am an employee at Trustpilot. I am not an employee at Trustpilot. Do you need visa sponsorship to work in this location? Select LinkedIn Profile What are your salary expectations? Please select the country you are applying from. Select

Senior Data Scientist We are looking for a Senior Data Scientist to join the ML/AI team. Our ML/AI team within the Data Organisation is a dynamic group of data scientists and machine learning experts passionate about using data to drive innovation. As a Senior Data Scientist on this team, you'll be at the forefront of developing and deploying machine learning and GenAI algorithms models. You'll collaborate with colleagues across the organisation to identify opportunities for automation, improve decision-making, and optimise our products and processes. This is a challenging and rewarding role where you can make a significant contribution to our mission while continuously learning and expanding your skillset in a supportive and collaborative environment. Please note, the minimum expectation for office attendance is two days per week in our central London office. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience. The role Develop and implement machine learning models using traditional ML and GenAI: Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes. Make use of Generative AI models and services when necessary. Analyse data to identify opportunities to improve Funding Circle's products and processes: We collect large quantities of data as part of running our business, work with analysts and product managers to analyse that data and identify opportunities to enhance decision making and increase automation. Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making. Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning: Keep up-to-date with advancements in machine learning and artificial intelligence. Apply cutting-edge techniques and technologies to address business challenges and maintain a competitive edge in the financial technology sector. What we're looking for Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proven machine learning expertise: Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential. Data manipulation, analysis and feature processing: Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Ready to make a difference? We'd love to hear from you.

About the role At Tesco, we believe in the power of spending more time together, face to face, than apart. So, during your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That's why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support. As a Head of Software Engineering for Machine Learning Engineering, you'll be a significant contributor to the delivery of products in one of Tesco's most strategic technology areas. You'll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You'll work within and across our Engineering and Data Science teams, delivering scalable products that improve how we serve our customers and run our operations. As Head of Software Development at Tesco, you hold a senior engineering management role and are the first level at which you manage other managers. About the Team: Within Tesco Data & Analytics, we help our customers and the communities where we operate get the most value from data. We build and run Tesco's data platforms, we architect and engineer data onto these platforms, provide capabilities and tools to the analytics community across Tesco, and develop data products at scale. Our Data Science teams are involved in a broad range of projects, spanning across supply chain, logistics, store and online. These include projects in the areas of Operations Optimisations, Commercial Decision Support (e.g. Forecasting and Range Optimisation), Online (e.g. Search and Recommendation) and Intelligent Edge (e.g. Computer Vision). Our Machine Learning Engineers work alongside our data scientists, helping with everything from development of tools and platforms, code optimisations through to deployment of solutions on the edge, cloud and big-data environments. You will be responsible for Accountability for delivering impact across teams within a directorate, as well as for effecting and leading change across the wider Technology organisation. Responsibility to lead your team with a clear sense of purpose & vision. Working with Data Scientists, Engineers, and Product teams across the software lifecycle. Hire, retain, and engage engineering managers and senior engineering talent. Promoting a culture of inclusion, autonomy, mastery, and delivery through directing, mentoring, coaching, and facilitation aligned to the broader technology organisation and Tesco values. Ensure all colleagues are supported in their careers, with personal/professional development objectives and through continuous feedback and training. Developing an environment that enables your teams to succeed in delivering and operating quality software, empowering teams to own technical decisions. Sharing knowledge with the wider engineering community. Building an effective execution process to ensure teams have awareness of overarching strategy, enabling them to be responsive during planning, development, and operational issues. Working with key stakeholders to ensure teams deliver business value. Acting decisively when required and being comfortable with managing ambiguity. Driving continuous improvement of engineering practices, efficiency of development, and fostering innovation. Empowering your team of engineers to own technical decisions whilst providing guidance and being responsible for best practices, striving to reduce waste, iterate quickly, and fail fast and forward. Take responsibility to build industry-leading and extensible software in your area of ownership. Lead and drive teams towards the right designs, architectural and programming principles, aligning to Tesco Technology's agreed standards. Evaluate the design and architectural decisions/choices of technical teams, advising on improvements to optimise systems and solutions. Working with key stakeholders, ensuring teams deliver the right value. Contributing to budget planning and forecasting for the Data Science domain. You will need An engineering background with strong knowledge of the Data Science Toolkit (Programming, Machine Learning, MLOps etc.) and bringing data science solutions into production. Key Requirements Include: Experience building and leading engineering teams within a Data Science setting. A higher degree in engineering, computer science, maths, or science. Customer focus with the right balance between outcome delivery and technical excellence. The ability to apply technical skills and know-how to solving real-world business problems. Demonstrable experience of building scalable and resilient systems. Commercial experience contributing to the success of high-impact Data Science projects within complex organisations. Awareness of emerging MLOps practices and tooling would be an advantage (e.g. feature stores and model lifecycle management). An analytical mindset and the ability to tackle specific business problems. Experience with different programming languages and a good grasp of at least one language. The ideal candidate is fluent in Python. Use of version control (Git) and related software lifecycle tooling. Understanding of common data structures and algorithms. Experience working with open-source Data-Science environments. Knowledge of open-source big-data technologies such as Apache Spark. Experience building solutions that run in the cloud, ideally Azure. Experience with software development methodologies including Scrum & Kanban. A background or strong understanding of the retail sector, logistics, and/or e-commerce would be advantageous but is not required. Practical experience with search technologies and recommender systems would be a plus. What's in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here to find out more! Annual bonus scheme of up to 45% of base salary. Car Cash Allowance. Holiday starting at 25 days plus a personal day (plus Bank holidays). Private medical insurance. Retirement savings plan - save between 6% - 10% and Tesco will contribute 1.5 times this amount. 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay. We also offer 4 weeks fully paid paternity leave. About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities, and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of, and for the planet. Diversity, equity, and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we're a place where Everyone's Welcome . We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here . We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate, and innovate.

Head of Operations Siemens Healthineers Magnet Technology has an exciting opportunity for an experienced leader to lead, motivate, and support a large team in a fast-paced and demanding environment. In this role, you will be responsible for delivering the Magnet Technology product portfolio to meet customer requirements with the highest standards of quality and cost efficiency. You will work across all manufacturing areas within Supply Chain Management, driving operational excellence and striving for world-class manufacturing status. By leading continuous improvement initiatives and eliminating waste, you will play a crucial role in maximising profitability and ensuring the ongoing success of the existing site in Eynsham, Oxford and our new 4.0 production facility based in Bicester, Oxfordshire. Your tasks and responsibilities: Collaborate with the Senior Leadership Team to shape strategic plans, identify business opportunities, and develop innovative strategies for long-term success, ensuring alignment with the Operations team. Develop and manage financial budgets to achieve key performance indicators (KPIs) such as revenue, profit, and cost of quality, driving financial and operational performance. Build a high-performance culture by promoting ownership, accountability, and adherence to safety (EHS) and operational excellence, ensuring the team's objectives align with overarching strategic themes. Ensure workforce planning meets customer demands by optimising labour resource capacity and implementing robust training programs to support current and future production needs. Evolve the manufacturing facility in line with long-term strategies and new product requirements, maintaining flexibility and adaptability in operations. Champion a world-class Quality culture by upholding stringent quality standards, resolving manufacturing challenges, and embedding a culture of continuous improvement. Lead initiatives to drive Lean manufacturing principles and best practices, fostering efficiency, waste reduction, and the pursuit of operational excellence. Develop, maintain, and utilise scorecards and KPIs to monitor performance, support decision-making, and drive improvement across all operational areas. Your qualifications and experience: A role model in clear, logical communication at all organisational levels, capable of leading discussions, presenting structured arguments, and fostering open dialogue. Advanced expertise in Lean principles, Statistical Process Control (SPC), 8D problem-solving, and Value Stream Mapping (VSM), with the ability to implement and facilitate these tools effectively. Skilled in using standard business and manufacturing software, such as ERP systems (e.g., SAP), project management tools (e.g., MS Project), and workforce modelling platforms. Proficient in methodologies like Value Stream Mapping, Strategic Goal Alignment (Hoshin Kanri), Structured Problem Solving, and Agile Visual Management to enhance operational efficiency. Strong understanding of manufacturing processes and products across multiple departments, with the ability to connect workflows to operational goals. Education • Degree or equivalent experience in relevant Operations, Business Management, Supply Chain Management subject • Proven experience in a Senior Operations Management position Why Siemens Healthineers? We offer excellent benefits, including 26 days holiday + Bank Holidays (with the option to buy/sell more) , annual bonus, BUPA, up to 10% employer pension contribution , onsite gym, subsidized restaurant, share scheme, and free onsite parking. Be part of a team that is pushing boundaries in healthcare innovation . Our projects impact lives globally, from diagnostics and image-guided therapy to cancer care and advanced manufacturing technologies. Our culture: At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainabily We are an inclusive and diverse global team of over 71,000 employees across 70+ countries. Together, we are passionate about improving lives through innovation and collaboration. If this sounds like the opportunity you've been waiting for, join us and help shape the future of healthcare manufacturing! How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers - Oxford url removed As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities. To all recruitment agencies: Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.