176 to 200 of 225 Predictive Modelling Jobs in England

Engineering Manager | £110k–£130k | London/Hybrid This platform helps some of the world’s largest energy providers optimise their systems using real-time AI and predictive modelling, making a tangible impact on carbon emissions across the globe. We’re post-Series B, growing fast, and looking for an Engineering Manager to lead one of our core product More ❯

Engineering Manager | £110k–£130k | London/Hybrid This platform helps some of the world’s largest energy providers optimise their systems using real-time AI and predictive modelling, making a tangible impact on carbon emissions across the globe. We’re post-Series B, growing fast, and looking for an Engineering Manager to lead one of our core product More ❯

role in scaling the companys platform and products. Youll be responsible for designing, architecting, and building innovative solutions across mobile, web, and tooling, helping to drive financial insights and predictive models while strengthening financial services. Key responsibilities include overseeing the technical development and delivery of products aligned with the companys vision. Youll also contribute to shaping the technology roadmap More ❯

build, and deploy AI and machine learning solutions that deliver measurable value to both our customers and our employees. Your work will enable smarter, data-driven decisions, unlock advanced predictive and prescriptive capabilities, and drive greater productivity, efficiency, and customer value. This could include developing personalised investment experiences, advanced predictive models, and solutions using a range of model … and deploy solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applying them to diverse use cases such as personalised customer experiences, predictive analytics, process automation, and insight generation-using both proprietary and third-party/foundational models Create solutions that translate complex data into clear, actionable insights, leveraging data science methods … developing, and deploying solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applied to varied business and customer contexts-including personalised experiences, predictive analytics, process automation, and insight generation-using both proprietary and third-party/foundational models Strong Python skills, with expertise in core data science and AI/ML libraries More ❯

the fastest growing fintech companies 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 models. Work end-to-end … Work with a diverse range 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, and SQL. Strong knowledge of More ❯

contracts, and SLAs, ensuring best-in-class performance and scalability. Define and enforce best practices across tracking, attribution, automation, and data governance. Drive innovation in segmentation, lifecycle marketing, and predictive modelling to optimise engagement and retention. Lead, develop, and inspire a high-performing MarTech team. Establish clear metrics and provide regular reporting and insights to senior stakeholders. Champion More ❯

scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop … and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects. * Communicate findings and insights effectively to stakeholders, presenting complex … concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science methodologies, tools, and frameworks. Key Skills & Experience: * The More ❯

days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. … on business needs, this role may perform a combination of some or all of the following duties. Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance. Collaborate with product and engineering teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine … Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines. Experience writing clean, efficient, and modular More ❯

individuals needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? Were looking for a Junior Machine Learning … Youll be joining a team led by George Cushen ( ), known for delivering innovative AI solutions at scale across marketing and customer experience. What Youll Do Support the development of predictive models and data-driven solutions that solve real marketing and customer problems. Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling. Write clean, well More ❯

individuals needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? Were looking for a Junior Machine Learning … Youll be joining a team led by George Cushen ( ), known for delivering innovative AI solutions at scale across marketing and customer experience. What Youll Do Support the development of predictive models and data-driven solutions that solve real marketing and customer problems. Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling. Write clean, well More ❯

datasets, and other unstructured data. Your work will augment fundamental analysts, and help drive investment decisions. You will also work alongside quantitative researchers and portfolio managers to help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, energy … or industrial sectors; Work with other data scientists and quantitative researchers to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data More ❯

will contribute to planning, execution, 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 perform hands-on analysis of … methods, variable selection methods (e.g., 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 meetings in key decision-making situations. More ❯

will contribute to planning, execution, 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 perform hands-on analysis of … methods, variable selection methods (e.g., 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 meetings in key decision-making situations. More ❯

governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven campaigns. Enable real … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Advanced understanding of matrixed organisations and comfortable in managing cross functional teams Strong understanding of data integration processes, APIs More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯

Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing, retail and machine learning teams to provide … create solutions that leverage vast data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability Be the technical lead in the … development of predictive models that solve business challenges through one-off analyses or bespoke modelling. Such work would include risk classification, such as area or vehicle classification, as well as predictive models for other business use cases such as conversion or retention Adapt known machine learning techniques such as GBMs to create solutions/models that are state More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Stay ahead of emerging trends in AI/ML to inform technology adoption. Enable Data-Driven Decision Making Build tooling and frameworks for experimentation, A/B testing, and predictive modelling. Define ethical and governance standards for responsible AI use. Lead & Scale the Team Build and mentor a high-performing data science function embedded in product and business teams. … enterprise data science teams in complex or product-led environments. A track record of delivering GenAI solutions using LLMs, prompt engineering, and RAG architectures. Deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, and modern data science tools/ More ❯

lending; fintech experience is a strong plus. At least 12 months' experience managing or mentoring analysts, with a track record of leading high-performing teams. Proven ability to build predictive models and extract insights from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying … credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to both technical and non-technical stakeholders. Strong commercial instincts. Familiarity with the German lending market or language is helpful but not essential. The salary More ❯

complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or … establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda More ❯

Responsibilities Analyse data to inform product decisions Work with product and engineering to design data experiments and analyse user behaviour Develop scalable data pipelines and automate insights generation Create predictive models, segmentation logic, or recommendation engines as needed Communicate findings clearly to technical and non-technical stakeholders Drive the development of internal analytics tools and dashboards Contribute to the … top university (Cambridge, Oxford, Imperial, etc ) Previous experience in a Data Science role, ideally within a product or tech company Proficiency in Python and SQL for data manipulation and modelling Solid understanding of statistical modelling, A/B testing, and experimentation Experience working with data in production environments Strong collaboration and communication skills, especially cross-functionally Have founded More ❯

highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python (5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration tools : Azure data factory , airflow More ❯