across Pivotal & THE OUT. Reporting to the Head of Product & Data, this role offers the opportunity to shape the data strategy and deliver impactful insights. With a remit spanning predictivemodelling, pricing optimization, business intelligence, and advanced visualization, you will play a key role in influencing product development, business strategy and operations. The ideal candidate will contribute to … in central London (Old Street). Key Responsibilities Strategic Data Leadership - Define and execute the organization's data strategy, aligning analytics with business goals and prioritizing high-impact opportunities. PredictiveModelling - Develop predictive models that enable proactive operations in the customer and vehicle domains. Pricing Modelling - Develop models that forecast trends, improve decision-making, and refine … data analytics, data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictivemodelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong More ❯
is critical in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictivemodelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business … methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and … the NHS data landscape. Accredited Counter Fraud Specialist or member of Government Counter fraud Profession Specialist Knowledge/Skills Essential Proven experience in advanced data science techniques and statistical modelling methodologies within large and complex datasets. Practical and proven expertise of machine learning algorithms, including supervised, unsupervised, and semi supervised techniques used to build and deploy models. Significant expertise More ❯
and consumer behaviour? Join a fast-growing retail innovation company in the heart of London. We're looking for a Junior Data Scientist eager to apply their analytical and modelling skills to support data-driven decisions that improve performance, enhance customer engagement, and increase profitability across the retail value chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with … large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictivemodelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising, and product … STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictivemodelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to More ❯
less typical, help us understand how your thinking has been shaped and why it stands up. What you'll be working on You'll be directly involved in: Developing predictive models to identify patterns in student behaviour and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative … and clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in data science and predictivemodelling within a real, high-impact environment Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent academic results, research … projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictivemodelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools More ❯
and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictivemodelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill the Data … our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the … Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictivemodelling and developing forecast applications Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently More ❯
analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictivemodelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictivemodelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯
analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictivemodelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictivemodelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯
high-impact work across paid media, measurement, and advanced analytics. They operate at the intersection of marketing and data science – with a track record of developing sophisticated experimentation and predictivemodelling solutions for major UK brands. This isn’t short-term agency work — they partner closely with clients, often with direct access to raw data and a strong … seat at the strategy table. THE ROLE: As a Senior Data Scientist, you’ll play a key role in leading the delivery of analytics projects across experimentation and predictive modelling. You’ll work directly with clients, helping them answer complex marketing questions and improve performance using robust, data-led methods. This role comes with significant autonomy — you’ll lead … responsibilities include: Own end-to-end delivery of data science projects across marketing measurement and advanced analytics Design and implement experiments (incrementality, geo testing, brand lift, causal inference) Build predictive models (LTV, propensity, pricing) using Python and SQL in a cloud environment Translate complex outputs into clear, strategic recommendations for clients Contribute to internal R&D and shape best More ❯
high-impact work across paid media, measurement, and advanced analytics. They operate at the intersection of marketing and data science – with a track record of developing sophisticated experimentation and predictivemodelling solutions for major UK brands. This isn’t short-term agency work — they partner closely with clients, often with direct access to raw data and a strong … seat at the strategy table. THE ROLE: As a Senior Data Scientist, you’ll play a key role in leading the delivery of analytics projects across experimentation and predictive modelling. You’ll work directly with clients, helping them answer complex marketing questions and improve performance using robust, data-led methods. This role comes with significant autonomy — you’ll lead … responsibilities include: Own end-to-end delivery of data science projects across marketing measurement and advanced analytics Design and implement experiments (incrementality, geo testing, brand lift, causal inference) Build predictive models (LTV, propensity, pricing) using Python and SQL in a cloud environment Translate complex outputs into clear, strategic recommendations for clients Contribute to internal R&D and shape best More ❯
quality of our analytical models. The role will report to Data Science & Analytics Manager and will be based in the company headquarters in London. Key Responsibilities Analytics/Machine modelling: Manage a multi-location and in-house team to deliver high performance, motivate and lead on career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch … and communicating the performance of ML models (e.g., supervised models, such as gradient boosting, logistic regressions etc. and non-supervised approaches, including clustering) Advise product stakeholders on feature and modelling accuracy and potential iterations which may drive improved model reliability and accuracy. Develop a testing framework and test model quality Experience with deployment to production, using standard tools including … XGBoost, just to name a few) Foster new and innovative machine-learning techniques and approaches General: Passionate for continuous learning, experimenting, and applying open-source technologies within the machine modelling space Work closely with several data engineering and software engineering scrum teams to incorporate both new and enhancements to models to customer-facing applications Eager to assure quality by More ❯
data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows More ❯
Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and More ❯
data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictivemodelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting we create sophisticated … products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … . Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new More ❯
various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictivemodelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation systems). More ❯
processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictivemodelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯
implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯
Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … robustly implemented. What we're looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictivemodelling Industry knowledge More ❯
Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … robustly implemented. What we're looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictivemodelling Industry knowledge More ❯
the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals … lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies … in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network More ❯
the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals … lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies … in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network More ❯
MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯
MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role More ❯
/B tests, delivering insights on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing individuals will find a long More ❯
the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model More ❯
and optimise these models and systems, making them a core part of how we support students globally. What are you responsible for Define the vision, strategy, and roadmap for predictive models and AI-driven engagement tools. Work with data teams to design models that predict student-program fit and likelihood of enrolment, using demographic data and behavioural activity across … AI-driven actions with real-world student needs. What you'll have 5+ years of product management experience, including at least 2 years working directly with machine learning or predictive analytics products. Strong understanding of predictivemodelling, recommendation systems, and Generative AI applications. Experience operationalising machine learning products into customer-facing workflows. Proven ability to work cross More ❯
