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 ❯
risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictivemodelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance … seek and identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictivemodelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in More ❯
to support early childhood-focused programmes and innovations. - You will leverage AI platforms, frameworks and APIs . - You will productionise dashboards and web-based applications . - Apply machine learning , predictivemodelling , and economic forecasting to extract insights. - You will comply to data governance policies and best practices to ensure data quality, documentation and compliance with regulations like GDPR. … data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictivemodelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. … DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and frameworks such as LangChain, Llamaindex and, HugginFace. Expertise in data manipulation, data visualisation, and statistical modelling libraries (e.g.: pandas, NumPy, Matplotlib, scikit-learn). Skills in data visualisation tools (e.g.: Tableau, PowerBI). Excellent problem-solving and analytical skills. Skills & attributes Passion for leveraging data 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 ❯
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 ❯
Visualization: Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI) to present data-driven insights in a clear and concise manner to stakeholders. • Data Modelling and Forecasting: Utilize statistical techniques and predictivemodelling to identify opportunities for business growth, optimize operational efficiencies, and support data-driven decision-making processes. • Performance Monitoring: Monitor … and using BI tools (e.g., Tableau, Power BI) is required. • Technical Skills: Proficiency in SQL for data manipulation and extraction. Advanced knowledge of data analysis techniques, statistical analysis, and predictive modelling. Familiarity with data visualization tools and techniques. • Business Acumen: Understanding of business operations, key performance indicators (KPIs), and the ability to translate data insights into actionable recommendations that 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 ❯
engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in 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 ❯
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 ❯
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 ❯
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯
helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯
end-to-end process of developing and deploying models to significantly improve the operational performance in a portfolio company. Examples of deployment projects you would be lead include:- optimisation modelling to improve manufacturing throughput, predictivemodelling to anticipate/avoid asset downtime, predicting and reducing customer churn, identifying next best action for sales agents, geospatial modellingMore ❯
This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey), data pre-processing with a data scientist mentality ("automate & re-use"). Small Language Models: be able to prepare … custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate advanced statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member … and interpersonal skills Solid project management skills Demonstrated experience building and maintaining client relationships Commercially focused mindset Coaching, Leadership and Management experience Technical skillset: Segmentation & Discriminant analysis & tools (essential) Predictivemodelling (e.g. logistic regression) (essential) Choice/Allocation based models (essential) Decision/Regression based trees (essential) Key Driver analysis methods (essential) Multivariate analysis (essential) Machine learning/ 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 ❯
opportunities for our clients. Collaborate with cross-functional teams to develop and implement data-driven strategies. Create impactful data visualisations and presentations that clearly communicate findings to stakeholders. Conduct predictivemodelling and advanced analytics to support marketing initiatives. Stay updated on industry trends and best practises to continuously enhance our data capabilities. What You Bring: Bachelor's or More ❯
Data Studio/or Looker or similar. Experience with statistical analysis and experimentation methodologies (e.g., A/B testing, multivariate testing). Understanding of data science techniques, such as predictivemodelling and machine learning, is beneficial but not required. This role would suit someone who is Excellent analytical skills and a track record of delivering tailored business insights. More ❯
actionable results Strong PowerPoint and presentation/communication skills Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Strong SQL skills required Experience in Python with predictivemodelling, regression techniques as well as wider techniques like clustering/random forest is desirable Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy More ❯
