1 to 25 of 84 Permanent Predictive Modelling Jobs in the Thames Valley

retail, banking, and insurance, they now work with a broad mix of sectors including geolocation and manufacturing. Their consultancy-style model combines investigative analytics, predictive modelling, segmentation, and advanced BI solutions. Key areas of focus include Business Intelligence, CRM & Customer Engagement, and Advanced Analytics. THE ROLE: This is … ll contribute to both standard and emerging analytics streams, particularly focusing on customer behaviour and location-based intelligence. Roles and Responsibilities: Build and deploy predictive models, with a focus on clustering and churn analysis Conduct customer segmentation and map customer journeys Deliver analytics across two core streams: Campaign performance … into actionable guidance SKILLS & EXPERIENCE: Proficient in SQL, Python, and Power BI Demonstrated ability to deliver actionable insights from complex data Strong experience in predictive modelling and deployment Background in retail or consultancy is highly desirable Experience or interest in geolocation/geospatial analytics is a strong advantage More ❯

communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false More ❯

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java More ❯

quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks More ❯

Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams, and other stakeholders to deliver data-driven More ❯

Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams, and other stakeholders to deliver data-driven More ❯

client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement More ❯

GTM in Google Analytics Experience using Big Query Nice to Haves: Experience supporting data-driven product roadmaps and experimentation programmes Familiarity with customer segmentation, predictive modeling, and machine learning Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic More ❯

clearly to non-technical stakeholders An effective communicator, with the ability to influence, negotiate and present at senior management level Familiarity with statistical and predictive modelling tools (e.g., R, Python) Experience in an education, EdTech, or training-focused organisation would be advantageous Project management certification (e.g., PMP, Agile More ❯

clearly to non-technical stakeholders An effective communicator, with the ability to influence, negotiate and present at senior management level Familiarity with statistical and predictive modelling tools (e.g., R, Python) Experience in an education, EdTech, or training-focused organisation would be advantageous Project management certification (e.g., PMP, Agile More ❯

the London Market Analytics team, overseeing data scientists, engineers, and technical experts to deliver impactful, analytics-led solutions. Partner with underwriting stakeholders to design predictive models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and More ❯

you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing to high-impact projects. Create and implement AI-driven More ❯

Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and More ❯

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 … 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 visualization tools : Knowledge of tools like Tableau/ More ❯

Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or … our customers to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organisation. Selecting features, building and optimising classifiers using ML techniques Data mining using More ❯

firm. Responsibilities Lead the day to day execution and implementation of AlbionVC’s data platform. Build and manage Data Pipelines enriching company data. Create predictive models and software to surface and highlight companies which match AlbionVC’s startup criteria. Build our foundational knowledge graph, which captures the wider AlbionVC More ❯

data . Partner closely with data engineering and data science to unify data across product verticals and surface meaningful insights – from descriptive metrics to predictive benchmarks. Champion data quality, consistency, and trust , ensuring merchants can confidently act on what they see. Prioritise features that close the loop between insight … working closely with data teams and familiarity with modern data stacks (e.g. GCP, BigQuery, dbt, Looker/Tableau, etc). Strong grasp of data modelling, data visualisation principles, and user behaviour analytics . Excellent prioritisation, roadmap planning, and cross-functional coordination skills. Ability to translate complex data requirements into … technical and non-technical stakeholders, including commercial teams, engineering, and executives. Nice-to-Haves Experience with Shopify or similar e-commerce platforms. Exposure to predictive modelling, forecasting, or ML-enabled analytics . Background in analytics, statistics, or data science (or the ability to spar intelligently with those who More ❯

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

must. AI Engineer Key Responsibilities: Develop and optimise AI-powered recommendation engines, chatbots, and virtual assistants to enhance customer experience and personalise interactions. Create predictive models for demand forecasting, inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and More ❯

range of organizations across sectors like geolocation and manufacturing. Their hands-on, consultancy-style approach empowers clients to make smarter decisions through investigative analytics, predictive modelling, segmentation, and advanced BI solutions. Core expertise includes Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a … data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and a growing focus on geolocation and geospatial analytics. The role involves developing end … to include location-based intelligence. SKILLS + EXPERIENCE Strong SQL, Python and Power BI experience Evidence of delivering actionable insight Experience building and deploying predictive models Background in retail/consultancy would be the ideal Knowledge of geolocation/geospatial analytics is a big plus HOW TO APPLY If More ❯

work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will of course be competent in agile data development More ❯

their search for a talented Quantitative Analyst to join their London based team. The successful candidate will use the extensive datasets to enhance existing predictive models, research new methods, and turn your insights into production-ready solutions. This research will involve a mix of well-executed analyses and innovative … modelling to solve unique challenges in football analytics, where traditional methods often need to be adapted or reinvented. To achieve this, you will have the freedom to explore and develop your own ideas while working collaboratively with a team of quants, developers, and analysts, to combine technical expertise with … football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. While expertise in More ❯