126 to 150 of 160 Predictive Modelling Jobs in London

English and Spanish being beneficial Experience in auditing quality and environmental management systems, analyzing audit findings, and implementing improvement actions Proficiency in math principles, predictive models, and tools, as well as the ability to provide critical review for technical documents Excellent communication skills (verbal, written, and presentation) Availability and More ❯

scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations More ❯

and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them to inform decisions. Share your findings and modelling with the wider business to impact our strategy. Ownership and influence: Independently build models to help solve our business problems, with responsibility for the … help understand the value of marketing and sales activities. This could include determining the return on investment of different types of marketing strategies. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return. Building statistical models to enhance the ability … translate data into actionable insights. Capability to manage projects end-to-end and produce good outcomes without much supervision. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or More ❯

and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them to inform decisions. Share your findings and modelling with the wider business to impact our strategy. Ownership and influence: Independently build models to help solve our business problems, with responsibility for the … help understand the value of marketing and sales activities. This could include determining the return on investment of different types of marketing strategies. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return. Building statistical models to enhance the ability … translate data into actionable insights. Capability to manage projects end-to-end and produce good outcomes without much supervision. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or More ❯

decision-making for their fundraising and outreach initiatives. As a Senior Data Scientist, you will apply your expertise in statistical methods, machine learning, and predictive modeling to uncover valuable insights from data. You’ll collaborate with cross-functional teams to support strategy, enhance donor engagement, and optimize campaigns. With … impactful and evidence-driven strategies. Key Skills: Statistical Methods & ML: Experience with supervised and unsupervised machine learning to uncover insights and support decision-making. Predictive Modeling: Skilled in building models based on customer behavior and forecasting using aggregated data. Programming: Expertise in R or Python for efficient, optimised code More ❯

decision-making for their fundraising and outreach initiatives. As a Senior Data Scientist, you will apply your expertise in statistical methods, machine learning, and predictive modeling to uncover valuable insights from data. You’ll collaborate with cross-functional teams to support strategy, enhance donor engagement, and optimize campaigns. With … impactful and evidence-driven strategies. Key Skills: Statistical Methods & ML: Experience with supervised and unsupervised machine learning to uncover insights and support decision-making. Predictive Modeling: Skilled in building models based on customer behavior and forecasting using aggregated data. Programming: Expertise in R or Python for efficient, optimised code More ❯

interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will … lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external More ❯

in the UK, and are profitable, meaning they are undergoing rapid growth. THE ROLE You will be doing the following daily: Develop credit risk predictive ML models across their credit card portfolios. Mainly working across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing … of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE Must have credit modelling experience, focusing on scorecards or predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python More ❯

risks, and resolve issues. Create dashboards to monitor operational metrics and KPIs. Support global FinOps teams with reporting, ad hoc analysis, statistical inference, and predictive modeling. Analyze data trends and operational statistics to provide meaningful insights. Interpret data and relate findings to business and operational contexts. Investigate data issues … identify root causes, and develop alternative measurement strategies. Build predictive models for operational drivers and metrics to aid planning. Apply data/text mining algorithms to identify insights for operational optimization. Basic Qualifications At least 1 year of experience in tax, finance, or a related analytical field. Over More ❯

a global leader in premium lifestyle products, specializing in apparel, accessories, home, fragrances, and hospitality. They have restructured to better leverage consumer insights and predictive analytics, driving personalized experiences at scale. To support this transformation, they are expanding their Data Science function to extract actionable insights from customer data … for business growth. Responsibilities Data Analysis: Use Dataiku and other tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer behavior and personalize marketing strategies. CRM & Intelligence: Collaborate across teams to enhance CRM strategies and generate More ❯

a global leader in premium lifestyle products, specializing in apparel, accessories, home, fragrances, and hospitality. They have restructured to better leverage consumer insights and predictive analytics, driving personalized experiences at scale. To support this transformation, they are expanding their Data Science function to extract actionable insights from customer data … for business growth. Responsibilities Data Analysis: Use Dataiku and other tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer behavior and personalize marketing strategies. CRM & Intelligence: Collaborate across teams to enhance CRM strategies and generate More ❯

to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting … Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. Hands-on experience in automating and deploying machine learning models. Proven ability to translate complex data into actionable pricing insights. More ❯

drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive. Your day to day tasks, should you choose to accept this mission Solve problems adaptively and value rigour and simplicity over complicated solutions … brings data science as a discipline to the next level Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML) Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and More ❯

external and internal data. Key Responsibilities Develop and enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract … performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands-on experience with machine learning frameworks (XGBoost, LightGBM, etc.). Strong understanding of market dynamics, elasticity modeling More ❯

leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. Strengthen client relationships to sustain Accenture's profile as a … and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading industry, working hand More ❯

looking for Customer Data Scientists to harness audience data, enhance engagement, and support smarter, data-led decision-making. Role/Responsibilities: Develop and deploy predictive models focused on customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve customer engagement Support revenue optimisation by … experience: Proficiency in SQL and Python Solid experience in customer or product analytics Hands-on expertise in A/B testing, experimentation, and uplift modelling Strong analytical and problem-solving skills, with the ability to distil complex data into actionable insights Background in media, gambling, or digital B2C environments More ❯

looking for Customer Data Scientists to harness audience data, enhance engagement, and support smarter, data-led decision-making. Role/Responsibilities: Develop and deploy predictive models focused on customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve customer engagement Support revenue optimisation by … experience: Proficiency in SQL and Python Solid experience in customer or product analytics Hands-on expertise in A/B testing, experimentation, and uplift modelling Strong analytical and problem-solving skills, with the ability to distil complex data into actionable insights Background in media, gambling, or digital B2C environments More ❯

functional teams across the UK and Europe to improve decision-making and unlock commercial value through data. What You'll Be Working On: Building predictive models to better understand audience behaviour, engagement, and revenue outcomes Analysing advertising inventory and pricing strategy to support a key revenue stream Driving insights … an internal "consultancy" within the business Tech & Experience: Strong knowledge of SQL and Python Hands-on experience with A/B testing and statistical modelling Background in product analytics or commercial data projects Comfortable working with stakeholders across tech and non-tech functions Great communication skills - personable, curious, and More ❯

at turning data into actionable insights and aren't afraid to roll up your sleeves. Essential skills & experience 5+ years in targeting and segmentation modelling, ideally with pricing experience. Proven success in CRM campaigns (B2C/B2B, e.g., FinTech, retail, or travel). Proficient in Python, R, or similar … data science tasks. Experience with CRM platforms (e.g., HubSpot) and cloud tools (AWS, GCP, or Azure). Skilled in A/B testing and predictive modelling. Degree in a quantitative field (e.g., Maths, Stats, Computer Science). Ability to work independently in ambiguous, fast-paced settings. Desirable Familiarity with More ❯

Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the … to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions About You: You have experience as … a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things More ❯

Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the … to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions About You: You have experience as … a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things More ❯

advanced analytics, utilizing technology and automation to significantly enhance risk identification, assessment, and response capabilities. Key responsibilities include designing robust data integration systems, implementing predictive risk models, and driving technological innovation to ensure risk insights are timely, accurate, and strategically actionable Key job responsibilities • Lead strategic innovation projects, including … GRMR's risk, resilience, and business continuity capabilities. • Collaborate on optimizing risk data pipelines ensuring accurate global and regional risk insights. • Integrate advanced analytics, predictive modeling, AI, and machine learning to enhance risk assessment accuracy, streamline processes, and support real-time monitoring. • Collaborate closely with global and regional stakeholders More ❯

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT More ❯

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT More ❯

no one has done before. At Amazon Web Services (AWS), we are helping large enterprises build AI solutions on the AWS Cloud. We apply predictive technology to large volumes of data across a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business … Teams. Assist customers in delivering AI/data projects from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact. Collaborate with other Professional Services consultants (GenAI, Big Data More ❯