236 jobs found

Senior Data Scientist - Ops Team Hybrid in London, UK We're looking for a Senior Data Scientist As a senior data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Senior Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Responsibilities: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

We are looking for an exceptional candidate to lead the development of our carbon market data and analytical products. You will oversee the technical aspects of our expanding range of products to support the global carbon market, including data analysis, economic forecasting, client interface and report writing/editing (for both clients and the public). You will have management responsibility for teams of analysts covering different topics. You will be driven, a creative thinker and intellectually curious. You should be able to effectively manage your own time and that of your teams and be capable of communicating complex issues in verbal and written format. You will also be passionate about improving the state of the world and addressing the challenge of climate change through the power of markets. Key Responsibilities Overseeing development of new product offerings in response to evolving client needs, shifting market dynamics and the competitive landscape. This will include close cooperation with peers from the Carbon Markets division of MSCI and wider teams to define and execute Go-To-Market strategies for successful product launches. Managing teams of product analysts to support the delivery and expansion of product offerings. Overseeing improvements to existing analytical products for Carbon Markets, including hands-on involvement with our market forecast, nature and geospatial models. Working closely with colleagues in UK, US and India to continually advance the data and insights. Communicating insights - both internally and externally through regular and ad hoc reports, direct analyst calls, webinars and conferences. Qualifications Strong academic track record, combined with >15 years of relevant work experience. Degrees in economics or finance, specifically in the energy or environmental sector. Exceptional analytical skills to focus on details as well as larger picture. Ability to manage multiple projects simultaneously and prioritise accordingly. People-person with proven ability to build and maintain internal and external relationships. Ability to extract insights and communicate complex issues to senior-level audiences. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed.

Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development. Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights. Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy. Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Our client is seeking an Analyst to join their Macroeconomics support team in Audit. The role will encompass supporting the delivery of high quality macro-economic analysis: Assessment and development of economic scenarios for IFRS9 purposes and stress testing regulatory exercises using macroeconomic and econometric models. Enhancement and development of in-house econometric models (statistical, structural economic models) with an understanding of accreditation of these tools for audit use. Production of thought leadership highlighting key trends and risks at sector and business level. Clear and effective communication about economic concepts and findings to non-economist audiences, verbally and in writing. Description of the role: Gathering and updating economic datasets, and preparing data for analysis and estimation. Supporting the enhancement of in-house economic and statistical models. Reperforming the model output using model codes developed independently from an entity's documentation and an appropriate software package (R, Python). Supporting the development new tools for forecasting macroeconomic variables. Writing documentation for quantitative and economic testing in a clear and succinct manner. Preferred skills, qualifications and experience: A minimum of 2 years of engagement within a macroeconomics team/unit at a professional services company, Central Bank, or Think Tank (1 year minimum experience). Strong understanding of primary sources of global and UK macroeconomic data sources and data providers. Ample experience in data wrangling and cleaning datasets for time series estimation purposes (e.g., data transformation, pre-estimation tests). Experience using R and Python for the estimation of time series and structural models such as Dynamic Factor models and Structural VARs. Excellent communication skills, both orally and in writing. Ability to clearly explain complex economic concepts in clear, simple terms, and apply economic concepts and techniques to real world situations. Practical experience developing climate models that effectively incorporate physical and transitions is desirable.

Data Scientist - Ops Team Hybrid in London, UK We're looking for a Data Scientist As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Responsibilities: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Analytics & Insights Manager Pluto TV International Pluto TV is seeking an Analytics & Insights Manager who will be a great addition to our growing team. The role will be a catalyst for supporting our growth initiatives in Marketing, Content, Finance and Product analytics for our International business. The right candidate will have great business experience, competence and focus on crafting impactful reports and analysis that drives decisions at a country level. What will you be doing? The Analytics & Insights Manager, International responsibilities include the following: Conduct deep dive analysis and build recurring insights reports based on our streaming media platform, the platform content, device and user performance and video ad metrics. Analyse historical performance and growth data and deliver well-rounded insights. Prepare and summarise reports from various Analytics/ Business Intelligence systems (weekly/monthly/ad-hoc). Collaborate, prepare and/or maintain weekly and monthly dashboards and metrics for senior leadership. Work cross-functionally with the other Analytics teams to support partners. Work with collaborators (Marketing, Content & Programming, Finance, Product) across geographical regions. Note: This will require regularly attending meetings with partners that can be as late as 6pm London time, as the International Analytics Team and this role supports teams across Latin America, Canada and Europe. Prepare SQL queries to support all of the above, as applicable. What are we looking for? We believe the right individual will possess these skills and experiences: MBA or undergraduate/ graduate analytical degree. 6-10+ years of applicable experience in a Business Intelligence or Analytics role. Extensive experience in Marketing, Content or Product Analytics. Extensive experience in model development (e.g. forecasting, sales projections, market share analysis), proof-of-concept or growth projects. Detailed knowledge of media, online advertising, and/or digital ad sales processes is preferred. Strong written documentation and presentation skills, using building executive facing presentations tools. Ability to think critically and provide accurate work. Excellent SQL skills. You need to be able to independently write your queries and check them for accuracy. Experienced with working with data warehouses such as BigQuery, Snowflake and Redshift. Automation experience - dashboards and processes. Advanced knowledge of Tableau or similar BI and data visualization tools. Experience working at a fast paced, data driven business. Experience working in a collaborative team environment, supporting standard methodologies, and mentoring other analysts. Experience collaborating with partners across an organization. Experience with Excel. Nice to Haves: Experience with ad partner platforms such as Google Ads, Meta (Facebook/Instagram), Apple Search Ads, TikTok, Snapchat, etc. Experience with Braze or other CRM tools. CRM Analytics Experience. Experience with MMPs or similar platforms (e.g. Kochava, Adjust, Singular, AppsFlyer) Experience with analytics platforms such as Google Analytics or Adobe Analytics. Experience in SVOD, AVOD or FAST. Experience managing BI or Analytics professionals. Alteryx and Databricks experience. Experience working with different geographical stakeholders.

London Who We Are: At Galaxy we are building products and services to help the world invest in economic progress. We believe crypto and blockchain innovations will permeate and improve all aspects of our global economy. Our vision is a society where value and ownership flow as freely as information. Galaxy is a digital asset and blockchain leader helping institutions, startups, and individuals access and navigate the crypto economy. As one of the most well-capitalized and trusted companies in the industry, we provide platform solutions custom-made for a digitally native ecosystem across three complementary operating businesses: Global Markets, Asset Management, and Digital Infrastructure Solutions. Our offerings include, amongst others, trading, lending, strategic advisory services, institutional-grade investment solutions across passive, active and venture strategies, proprietary bitcoin mining and hosting services, network validator services, and the development of enterprise custodial technology. Galaxy's CEO and Founder Michael Novogratz leads a team of crypto enthusiasts, and institutional veterans focused on the future of finance and Web3. The Company is headquartered in New York City, with global offices across North America, Europe and Asia. Additional information about the Company's businesses and products is available on . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Build Dream Teams. Who You Are: We are seeking a highly skilled Quantitative Developer to join our Crypto trading desk. The successful candidate will collaborate with traders, quants, and other developers to design, implement, and optimize market making and quantitative trading strategies. This role requires a strong background in software development, quantitative analysis, and financial markets, particularly in the FX and Crypto trading domains. What You'll Do: Develop, implement, and maintain high-performance trading algorithms and models for Crypto markets Collaborate with traders and quantitative analysts to understand trading strategies and translate them into efficient code Optimize existing trading systems for speed, reliability, and scalability Integrate new data sources and ensure data integrity for accurate model input Monitor and troubleshoot live trading systems, ensuring minimal downtime and optimal performance Stay up-to-date with the latest advancements in quantitative finance, software development, and Crypto markets Contribute to the continuous improvement of development processes and tools What We're Looking For: Bachelor's, Master's, or Ph.D. in Computer Science, Mathematics, Financial Engineering, or a related field Proven experience in developing and implementing quantitative models and trading algorithms Strong programming skills in Java Experience with high-frequency / low-latency trading systems Experience working on an FX or Cryptocurrency trading desk Experience in integrating and executing strategies on DeFi platforms (SOL/ETH) Excellent communication skills, both written and verbal Bonus Points: Experience of research and backtesting to evaluate the performance of trading strategies and models Proficiency in Rust and Python, statistical tools (e.g., NumPy, pandas, SciPy) Experience of development with relational and time series database technologies Knowledge of risk management infrastructure What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact .

Data Scientist - Ops Team Hybrid in London, UK We're looking for a Data Scientist As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Strategy and innovation: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Ownership and influence: Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. In-depth expertise: Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years. Instant access to emotional and mental health support with our partner, Spill. Pension and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Paid volunteering day to support your chosen charity. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Data Scientist - Customer Lifetime Value Hybrid in London / Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data Scientist in our CLtV team, you will be developing this model so that it represents and codifies our best and most current understanding about the true lifetime value of our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is central to our business, influencing decisions across every department. The CLtV team is a small and versatile group of people who manage the CLtV model from the R&D stage all the way to deploying model releases into production. We manage data pipelines that enable the business to use our predictions in their day-to-day decision-making. Our dynamic and autonomous environment emphasises on 'getting things done' and delivering high quality solutions. You can expect working closely with stakeholders, delivering solutions iteratively to incrementally add value, collecting and addressing feedback, and also providing support to the team and wider business. The role Your role as a Data Scientist in the CLTV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development. Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and performance monitoring. Clearly communicate and explain any model changes to the business, ensuring transparency and fostering trust in the model's predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights. Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights with the broader business to drive value by changing the way iwoca operates. Project ownership and autonomy. Independently develop data science solutions to address iwoca's business challenges, with increasing responsibility in solution design. Maintain strong communications with stakeholders throughout your work to ensure that your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The requirements Essential: Ability to effectively communicate with stakeholders and downstream users of the model, and to maintain up-to-date and reliable documentation. Strong problem-solving skills in probability and statistics. Experience developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machine learning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. Experience with Python. (Note: we mostly work in Python.) Knowledge of financial concepts (e.g. calculations with deterministic cash flows). The salary We expect to pay from £70,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% pension contributions on total earnings An employee equity incentive scheme Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.

Basic Function We are seeking a skilled and detail-oriented professional to join our team as a Business Analyst and Operations Coordinator. In this role, you will be responsible for studying and analyzing departmental operations, work methods, and project components. Your expertise will help identify interrelationships between activities, improve efficiency, and optimize costs. Additionally, you will support various operational and administrative tasks related to sales, invoicing, and project coordination. This position requires strong analytical abilities, excellent organizational skills, and the ability to work collaboratively with cross-functional teams. Responsibilities Conduct in-depth analysis of specific departmental areas or problem areas to understand their interrelationships with other activities. Study work methods and procedures by measuring the work involved and computing standard times for specified activities. Prepare detailed reports outlining suggestions for increasing efficiency and lowering costs based on research and analysis. Analyze project components, organize them into a logical sequence, and establish the minimum time required for cash flow cycle of project completion . Assist in purchasing services, processing contracts, and managing contractual arrangements. Process sales invoicing as required and maintain electronic folders with purchase orders (PO). Send out regular dashboards to the team, providing updates on invoicing, accrued revenue, and debtor status. Input customer sales orders onto the Sage system by project to generate invoices. Maintain a customer purchase order (PO) status table. Assist in chasing receipting of sales orders to ensure timely payment. Enter sales receipts into Sage and help update the collection sheet debtors. Monitor the Aged Debtors report and proactively send statements to customers. Maintain customer agreements folder along with the project business case for commercial and audit compliance (where applicable). Review, improve, and develop existing commercial processes to meet auditor requirements. Collaborate with the team to review monthly projected actuals as needed. Conduct project cost analysis to enhance budgeting and provide suggestions for improving project margins. Assist in customer setup on Sage and organize new project go-live requirements. Skills essential to the job Bachelor's/ Master s degree in Business Administration, Finance, or a related field (or equivalent experience). Proven experience in business analysis, operations coordination, or a similar role. Strong analytical and problem-solving skills, with the ability to conduct comprehensive research and produce actionable reports. Excellent organizational and time management abilities to handle multiple tasks and prioritize effectively. Proficiency in using software and tools for data analysis and project coordination. Strong written and verbal communication skills. Ability to work independently and collaboratively in a team environment. Attention to detail and accuracy in data analysis and reporting. Familiarity with Sage or other similar accounting software is a plus.