26 to 50 of 75 Predictive Modelling Jobs in England

usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical ...

Data Science function to support the next phase of growth. With a new customer loyalty programme launching this year, there is significant demand for predictive modelling, personalisation, forecasting, and customer analytics. As a Mid-Level Data Scientist, you'll work closely with the Data Science Lead and wider ...

analytics, data engineering, and data science functions. While your team consumes the core platform infrastructure, you will own the implementation of analytics, customer predictive modeling, and data modeling for multiple products. Operational Agility: Navigate a "0-to-1" environment by making quick, informed decisions on data platform usage ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR. Key Responsibilities Data Analysis & Modelling Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models ...

profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business … improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital ...

large-scale enterprise environment. The Role We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore … recommendations to senior business audiences. Essential Experience Proven experience leading data science projects in large, complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with ...

cloud technologies Developing Python-based data pipelines and integrating multiple data sources Working across the full lifecycle: discovery → POC → delivery Supporting data science and predictive modelling use cases Engaging directly with stakeholders to understand requirements and shape solutions What They’re Looking For Strong experience in data engineering ...

skills with thought leadership to deliver innovative pricing solutions that maximise value for both customers and the business. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to embed cutting-edge methodologies across the department. Ultimately, you'll play a pivotal role … pricing capability and ensuring we stay ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar ...

self-serve analytics using tools like Airflow, dbt and Looker.\ N\n\nPractically used + applied AI/machine learning techniques and built predictive models to get deeper insights\ N\n\nKnowledge of the FinTech ecosystem\ N\n\nAdditional Information\ NWhat do we offer: \ N\n\nSalary ...

self-serve analytics using tools like Airflow, dbt and Looker.\ N\n\nPractically used + applied AI/machine learning techniques and built predictive models to get deeper insights\ N\n\nKnowledge of the FinTech ecosystem\ N\n\nAdditional Information\ NWhat do we offer: \ N\n\nSalary ...

real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing ...

influence strategic decision-making. The successful candidate will leverage a wide range of traditional, public, financial, and alternative datasets to uncover valuable signals, develop predictive models, and contribute to high-impact analytical projects. This role offers the opportunity to work at the intersection of data science, machine learning … fast-paced and innovative setting. Key Responsibilities Analyse large and complex structured and unstructured datasets to identify meaningful patterns, trends, and opportunities. Develop predictive models and advanced analytical solutions that support critical business and research objectives. Partner closely with stakeholders to understand key challenges and translate data into actionable ...

interfaces, and internal applications using JavaScript, HTML, CSS, React, Node.js , & other modern web technologies. Work alongside CRM, Machine Learning, Data, & Operations teams to integrate predictive models, automation tools, and analytical insights into operational workflows. Use AI-assisted development tools, such as Codex or similar. Provide technical oversight & support ...

decade pioneering scientific advances in this domain. Despite the complexity, successful outcomes are immediate and unambiguous. Responsibilities Lead and conduct original research on predictive models, novel data sets, risk management, and portfolio optimization Develop a rich understanding of Voleon's domain, challenges, and methodologies Define the research agenda ...

enhance supply chain performance. This is an exciting opportunity for an analytically minded professional with a strong foundation in statistics and experience applying advanced modelling techniques to real-world business problems. Working closely with cross-functional stakeholders, you will leverage statistical modelling, machine learning, and predictive analytics … improve forecasting accuracy, optimise inventory, and drive operational efficiency. Key Responsibilities: Apply statistical modelling and machine learning techniques to address supply chain challenges, including demand forecasting, inventory optimisation, and replenishment planning. Develop, test, validate, and deploy predictive models using robust statistical methodologies, including regression analysis, time series forecasting ...

Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling click apply for full job details ...

/ML Expertise: Deep subject‐matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets. Domain Knowledge: A strong understanding of core banking, financial technology ...

/ML Expertise:** Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets.* **Domain Knowledge:** A strong understanding of core banking, financial technology ...

Working closely within the data team and collaborating with insight teams and customer success managers, you will develop advanced analytical solutions, forecasting methodologies and predictive models that enhance Lumina’s data products and consultancy offering. By exploring opportunities within complex datasets, you’ll uncover emerging trends and deliver meaningful … insights from Lumina's proprietary datasets Translating complex analytical findings into compelling narratives, recommendations and presentations through effective storytelling Designing and implementing forecasting and predictive models that support client decision-making and product development Partnering with Insight, Research and Commercial teams to answer high-value business questions Building scalable ...

organisation within the insurance market, is looking for an experienced Data Science Lead to support a large-scale modernisation programme, delivering commercial analytics and predictive pricing capabilities. You'll be a great fit for this role if: You have delivered insurance pricing models and have experience building commercial analytics … predictive modelling solutions You have General Insurance or London Market experience You have experience with HX Renew/Hyperexponential (highly desirable) You have strong Python expertise, alongside experience with Spark, R and modern data science tooling You have strong stakeholder management skills and proven experience leading data science ...

organisation within the insurance market, is looking for an experienced Data Science Lead to support a large-scale modernisation programme, delivering commercial analytics and predictive pricing capabilities. You'll be a great fit for this role if: You have delivered insurance pricing models and have experience building commercial analytics … predictive modelling solutions You have General Insurance or London Market experience You have experience with HX Renew/Hyperexponential (highly desirable) You have strong Python expertise, alongside experience with Spark, R and modern data science tooling You have strong stakeholder management skills and proven experience leading data science ...

engineering challenges. The role requires a PhD and over 4 years of experience in data-driven roles. You will collaborate with engineers to develop predictive models, communicate effectively across teams, and contribute to the company’s innovation efforts. The position offers a hybrid working model and a range ...

built for scale. The Senior Data Scientist joining now will shape how that capability is built. You'll be setting the technical direction for modelling, owning the most complex problems, and connecting business outcomes to what actually gets built. Responsibilities as a Senior Data Scientist: • Build and deploy predictive models and advanced analytics solutions for high-value use cases • Define the features, datasets and structures required for modelling, working closely with the Lead Data Modeller and Data Engineering teams • Translate business problems into clear analytical approaches, challenging poorly defined requests and driving clarity on outcomes • Communicate trade ...

growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement \n \n \nYou will do this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation. \n \n \nYou will model customer behaviour ...

what growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement\ N\n\nYou willdo this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation.\ N\n\nYou willmodel customer behaviour data ...