17 of 17 Permanent Predictive Modelling Jobs in the Thames Valley

solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery and standards Engage with senior stakeholders and influence … decision-making YOUR SKILLS AND EXPERIENCE The successful Lead Analytics Consultant will have: Extensive experience in analytics, with strong delivery and client engagement skills Excellent SQL and data modelling experience Hands-on expertise with at least one cloud platform (Snowflake, Azure, AWS, GCP) Proficiency in a leading BI tool (Power BI or Tableau essential) Exposure to AI/ML … solutions (Snowflake, Azure, AWS or GCP) Work with BI and visualisation tools such as Power BI or Tableau Apply AI and advanced analytics techniques where relevant, including LLMs and predictive modelling Translate complex business problems into actionable technical solutions Mentor and develop a growing team, raising the bar across delivery and standards Engage with senior stakeholders and influence 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, predictive modelling, 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 predictive modelling, 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 ❯

degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop More ❯

hand in strategic projects, all while enjoying the flexibility of hybrid working and the rewards of a generous bonus scheme. You’ll be part of a specialist Asset Risk Modelling Team, operating in a collaborative, matrix-style environment. Your work will include model development, enhancement, and delivering forecasting models while ensuring outputs are accurate, robust, and clearly communicated. You … ll partner with SMEs to own outcomes, mentor junior analysts, and engage with external experts to stay ahead of best practice. From modelling the impact of electric vehicle transitions to refining customer pricing models, your influence will be felt across the business... sound like you? Apply now! What experience you’ll need to apply: Solid track record in forecasting … model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative and commercially strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

in the gambling sector or have a strong interest in applying data science within this industry . You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced … statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance through experimentation and analytics What We … years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights More ❯

in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks More ❯

complex problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets … to uncover insights and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

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 predictive modelling Industry knowledge More ❯

a senior level Experience managing a team of data professionals. Strong proficiency with Data Analytics tools and technologies - particularly Power BI Good understanding of statistical analysis, machine learning, or predictive modelling techniques Strong analytical and problem-solving abilities. Excellent communication and presentation skills If you would be interested, please apply or call Corinne at Pertemps. More ❯

/ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Collaboration & Innovation Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML More ❯

countries across five major geographical areas (Europe, Americas, Asia, Africa and Oceania) Role: You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you More ❯

us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play a key role in the design, development, and implementation of predictive models that power our sports forecasting products. You will work collaboratively … within a sport-specific team to develop robust, scalable models, contribute to the research and development of new modelling methodologies, and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve … modelling practices across the business. This role is ideal for someone with a strong foundation in data science who is looking to make a meaningful impact in a high-performance, fast-paced environment. Key responsibilities Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale More ❯

paced, high-growth startup environment with shifting priorities. Preferred Qualifications Experience with mobile consumer apps and/or subscription business models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization … analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for growth analytics at scale. Meaningful work with direct impact on global user acquisition and monetization. Career-defining opportunity in a fast-growing, venture-backed startup. Collaborative and innovative team environment. Significant investment in your learning and growth. Competitive More ❯

core simulation engine is built in C++ , so any experience with C++ in high-performance environments is a major plus. Key Responsibilities: Work with data science teams to optimise predictive models and deploy them at scale Build robust, scalable services in Python , with performance-critical elements in C++ Contribute to the development of a digital twin platform to simulate … forecast city infrastructure outcomes Collaborate across simulation, data, and software teams to turn prototypes into production-ready solutions (Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling Experience: Strong commercial experience in Python engineering Exposure to C++ , especially in simulation, modelling, or high-performance systems Proven track record working closely with data scientists to bring … models into production Background in simulation-heavy domains (e.g. finance, oil & gas, energy, transport) Experience with Kafka or distributed messaging systems is highly desirable Systems thinker — interested in how predictive models drive real-world infrastructure impact The Details: Inside IR35 £600-650p/d 2 days per week in central London Start: ASAP 6 month rolling contracts More ❯