51 to 75 of 76 Predictive Modelling Jobs in England

Additional Experience (Nice to Have) Experience overseeing monetisation for high-performing mobile titles or large app portfolios. Exposure to advanced optimisation techniques such as predictive modelling or machine-learning-driven decision making. Working with ...

Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products click apply for full job details ...

data. Government and Enterprise: The role will involve applying data and AI capabilities to complex challenges where insight, precision, and scale are essential. From predictive modelling to operational optimisation, the Director’s oversight will help organisations make data-driven decisions that deliver measurable public and commercial value. This ...

executing test cases for new AI-driven features and functionality on the online platform. Collaborating with developers and analysts to improve automation, reporting, and predictive models. Documenting test outcomes, highlighting anomalies, and recommending improvements. Candidate Requirements Independent skills Team work skills Organisational skills Good written and oral communication skills ...

seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions. Key Responsibilities … friendly format. Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis. Algorithm Support Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement. Required Qualifications Proven experience in designing and building data pipelines (ETL/ELT) using modern ...

seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights. Your work will directly impact the banks ability to manage cash efficiently and make data-driven decisions. Key Responsibilities … friendly format. Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis. Algorithm Support Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement. Collaboration & Communication Work closely with product, engineering, and business teams to understand requirements and deliver ...

focus on big-picture, strategic thinking as the team grows. We're seeking someone with strong experience across a range of analytical areas, including predictive modelling, stakeholder management, and data cleansing, who brings fresh ideas and is con click apply for full job details ...

their Trading & Operations function, with deep experience leading high‐impact data science projects end‐to‐end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire … growing demand for data science across the business. What you'll be doing: Lead end-to-end data science projects : problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk ...

with social listening tools and voice of customer data Design and analyze A/B tests to optimize campaigns Partner with Data Science on predictive models (churn, propensity, scoring) Present insights to CMO, CRM Director, and Finance teams Manage team of 4 analysts - set direction, develop talent, show what … prescription refills) WHAT YOU NEED Essential: Strong SQL (querying large datasets, complex joins, optimization) Customer segmentation, LTV modeling, or RFM analysis experience Understanding of predictive models (churn, propensity, scoring) Power BI or Tableau for dashboards Team leadership or mentorship experience Confident C-suite communicator with energy and presence Highly ...

stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your … Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong ...

setting best practices and ways of working. Own full-funnel, cross-channel analysis covering acquisition, engagement, and retention. Improve campaign performance measurement through attribution modelling, incrementality testing, and media mix modelling. Partner with Data Science to develop predictive models (e.g. LTV, churn) to inform budget allocation. Build … media, and lifecycle. Strong communication skills, comfortable influencing senior stakeholders. Excellent statistical analysis and data storytelling ability. Desirable: Experience building LTV, churn, or other predictive models. Familiarity with marketing mix modelling and forecasting techniques. Python or R for advanced analytics. Exposure to high-volume, consumer-facing industries (gaming ...

data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy ...

initiatives. You will join the FBRS (Ferrovial BAM Joint Venture) Information Management Team (IM), where your responsibilities will include ensuring systems integration, designing data modelling processes, and developing algorithms and predictive models to extract the data required by the project. You will also collaborate with teams across ...

frameworks for all trading components Develop automated, fault-tolerant monitoring and tracking systems Collaborate with researchers to create integrated research and execution frameworks for predictive models Requirements: Proven experience as a Research Engineer, Software Engineer, or Quantitative Developer Strong programming expertise in Python and/or C++ Exceptional academic ...

directly shape how we compete and win in a fast-moving market. Main Responsibilities as a Senior Strategic Market Pricing Analyst: Develop and validate predictive models using advanced machine learning techniques. Explore and test new datasets, features and innovative modelling approaches to enhance pricing accuracy. Deliver experimental pricing … strategies that contribute to profitable growth. Maintain predictive models and manage their successful deployment. Drive alignment and momentum among key decision-makers and stakeholders around Strategic Market Pricing developments Contribute to business sponsored strategic projects across the pricing cycle. Be able to question the status quo and identify opportunities ...

/B testing. Your work will focus on delivering high-value insights and solutions, including: Building optimisation models to improve efficiency and throughput. Developing predictive models to reduce risk and prevent downtime. Designing churn prediction strategies to improve customer retention. Identifying next-best actions to support sales and commercial … teams. Applying geospatial modelling to optimise footprint and location strategy. What We’re Looking For At least 2+ years’ experience applying data science to deliver commercial impact. A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject). Strong Python skills (Pandas, NumPy, Scikit ...

cases. Facilitate workshops, run discovery sessions, and guide teams on AI best practices. Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows. Develop robust data models, pipelines, and integrations to ensure scalable AI adoption. Establish data governance standards, security … Lead, Analytics Lead, AI Specialist, BI Lead). Must have experience within industrial sectors (OT, ET). Strong background with Power BI, including DAX, modelling, governance, and enterprise deployments. Hands-on experience building AI and machine learning solutions using modern cloud tools (Azure preferred). Strong understanding of data ...

blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You'll work with large, complex datasets, build predictive models, and support data-driven decisions across the organisation. If you love maps, patterns, and answering real-world questions with data, this role has your … Responsibilities Acquire, clean, and manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial databases, data pipelines, and automated ETL processes. Create high ...

Title: Project Manager – Predictive Analytics Location: United Kingdom Working Pattern: Hybrid/Fully-Remote Contract Type: Permanent About HF People. Not just lawyers We’re not your typical law firm – we’re people with a passion for helping our clients and each other achieve the best possible outcomes. … routes to building their careers in law. About the team Horwich Farrelly (HF) is driving innovation in claims management through advanced data insights and predictive analytics. The Predictive Analytics and Data Insights team plays a key role in HF’s transformation strategy, working collaboratively with legal experts, data ...

data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data … projects focused on drivers of US healthcare behaviour at scale Design and run behavioural measurement approaches (survey + digital signals) Build statistical and predictive models (regression, segmentation, behavioural modelling) Translate findings into benchmarks, insights and recommendations Partner with PM/DE to productise outputs into a robust data ...

improvement. Analyse customer usage patterns across EV charging stations and the growing network to identify trends and opportunities. Support targeting strategies using clustering and predictive modelling. Evaluate marketing campaign performance using attribution modelling and analysis. Develop dashboards and visualisations to communicate insights to key stakeholders. Collaborate with ...

Founding Quant , a founding-level role to help design, build, and scale our research and trading platform. Role Description Develop and test short-horizon predictive models and alpha signals. Design, implement, and optimise execution and market-making strategies . Build end-to-end trading pipelines , from research and simulation … Engineering from a top university. 📈 Experience & Domain Knowledge 2–5 years of experience owning the full lifecycle of a trading strategy: idea generation → research → modelling → backtesting/simulation → implementation → live execution. Deep understanding of market microstructure , liquidity, and order-book dynamics. Experience in an HFT, proprietary trading, or systematic ...

hand off" role, you'll manage everything from data collection to feature engineering, model development, testing, and deployment. Key Responsibilities: Develop credit risk predictive models, including scorecards, income models, and early repayment models. Build automation for lending decisions and support acquisition and verification models for credit cards. Create forecasting … marketing models to support customer segmentation and growth strategies. Own the full modelling process, from raw data through deployment, without separate engineering teams. Collaborate with cross-functional teams to ensure models are robust, actionable, and scalable. Continuously improve modelling approaches as volumes and portfolios expand. REQUIREMENTS 1+ years ...

with a business who are building an AI-powered platform that helps brands activate their happiest customers through intelligent referral journeys, reward automation, and predictive modelling. As we expand our generative AI and experimentation capabilities, we’re hiring a full-stack Senior Data Scientist who loves solving ambiguous problems … stay hands-on and move fast. 🎯 What We’re Looking For We’re looking for a generalist, not a narrow specialist—someone comfortable with modelling, experimentation, prototyping, and cross-functional collaboration. You’re a great fit if you: Have strong experience with ML and generative AI/LLM development ...

client apart is their ability to combine: Domain expertise in water and wastewater operations, Manufacturing Systems Technology leadership in SaaS, data analytics, and predictive modeling. Customer focus — building solutions that reduce OPEX, improve regulatory outcomes, and empower operators with actionable insights. By bridging the gap between utilities, regulators … differentiator — blending physics-based and AI-driven models to simulate, predict, and optimize operations. Develop phased roadmaps: short-term compliance and monitoring, mid-term predictive analytics, and long-term city-wide digital twin ecosystems. Lifecycle & Prioritization Manage the full product lifecycle from ideation to retirement. Prioritize features by regulatory ...