14 of 14 Permanent Predictive Modelling Jobs in the Thames Valley

support better commercial decision-making Translate complex analytical findings into clear, actionable insight and recommendations Apply statistical and advanced analytical techniques including regression, clustering, predictive modelling and campaign measurement Have an understanding of techniques such as k-means, random forest and linear regression, with the ability to interpret … utilise modelling outputs Support forecasting and optimisation activity across the wider analytics function Work closely with stakeholders across customer, marketing, commercial and other business functions Help stakeholders make better decisions based on customer data and real-time events Communicate analytical findings effectively to both technical and non-technical audiences ...

Data Scientist Berkshire - Hybrid 2 days office attendance Are you ready to shape the future of predictive analytics in financial services? We are looking for a versatile Data Scientist to help to build and scale our clients data science practice. Sitting at the heart of the Data team … will apply machine learning, predictive modelling, and statistical rigor to tackle real world business challenges across customer behaviour, risk, and pricing. What You'll Do · Build End-to-End Solutions: Scope, design, train, and deploy production-ready ML models and statistical experiments. · Shape the Platform: Collaborate with Data ...

data science or advanced analytics. Advanced practical capability in Python and SQL. A strong grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability ...

following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. ...

develop computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery ...

join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a junior contributor, you will work on a variety of data-driven projects … help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering ...

support to delivery, and application of advanced analytics and machine learning implementations Professional experience in a Data Scientist role, applying machine learning, statistical modelling or advanced analytics to real business challenges Strong Python and SQL skills, with experience building and evaluating models A degree in Data Science, Mathematics, Statistics … where data science can create measurable business value. Your responsibilities will include: Applying machine learning, AI and advanced analytics techniques to operational challenges Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers, risks and opportunities Translating complex analysis into ...

recommenders, embeddings and semantic retrieval, and real-time features — the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards — A/B testing, guardrail metrics, and rigorous measurement of incremental business impact ...

Harnham in London is seeking a Quantitative Analyst to build predictive models forecasting sporting outcomes and driving trading performance. You will develop statistical models, test ideas on large datasets, and collaborate with researchers, traders, and engineers in a highly technical, autonomous environment. The role requires a strong maths/ ...

Technologies seeks a Data Scientist I to join our global team. You will analyse complex datasets, build predictive models, and support decision-making for diverse clients, including retail and energy brands, across real‐time insights and insights-driven decisions. As a junior contributor, you will collaborate with data engineers ...

services. You will collaborate with analysts and traders to develop market forecasts and productionise models. You will engineer features from complex datasets, build scalable predictive models, visualize insights for quick risk decisions, and help automate trading workflows. We offer a hybrid work model and strong development opportunities. #J ...

Developing market forecasts for our trading teams, who trade the wholesale electricity and ancillary service markets in GB Building, prototyping, testing, and scaling parallelised predictive models to forecast electricity market prices, volumes and value across wholesale and ancillary markets Cleaning complex datasets, engineering high-value temporal features, and accounting … this topics Working with tech teams to source data to underpin your work and help them productionise your applications Preferred Technical Skills Time-series modelling (ARIMA, SARIMA, etc.) and - Tree-based & gradient boosting models (XGBoost, LightGBM, NGBoost) Expertise/knowledge of internally stored data & data consumers as well ...

heterogeneous geoscience datasets. Develop methods that preserve geological realism, respect subsurface uncertainty, and improve the conditioning of geological models to available data. Validate predictive models using blind tests, real-world datasets, geological quality checks, and product-relevant scenarios. Collaboration & Innovation Work closely with geoscientists, software engineers, data scientists … product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Lead and contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities. Qualifications ...

IT. You will lead cross-functional teams to deliver scalable, trusted, and sustainable digital products that turn experimental and observational data into actionable insights, predictive capabilities, and decision-support solutions. What You Will Do Define and drive the POD vision, value hypotheses, multi-horizon roadmap, and product portfolio strategy. … outcomes through Agile/Lean product practices. Strong product strategy capabilities, including vision setting, roadmapping, portfolio management, prioritization, and value measurement. Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products. Understanding of AI/ML and agentic AI concepts, including human ...