126 to 150 of 911 Predictive Modelling Jobs in England

that support strategic decision-making across the organization. Responsibilities Develop, implement, and validate advanced statistical models and machine learning algorithms. Utilize R and Python for data exploration, analysis, and predictive modeling. Collaborate with data engineers and business stakeholders to ensure data readiness and alignment with business objectives. Interpret complex datasets to generate actionable insights and present findings to technical More ❯

/B tests, delivering insights on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ...). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing individuals will find a More ❯

people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You'll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You'll collaborate closely with other data scientists, engineers, and product … marketing, operations, engineering, product planning, R&D, and finance. We are hiring for two vital teams within Data Science: Forecasting & Value Models: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to More ❯

with a strong technical foundation? Coders Connect is looking for a Technical Data Consultant to join a high-impact healthcare project. If you excel at building data solutions, deploying predictive models, and translating data insights into real-world business decisions, we’d love to hear from you! Duration : 8-12 weeks Rate : Based on experience Work preference: Hybrid What … You’ll Do Design and implement data pipelines and processing frameworks using SQL, Python, and Snowflake. Develop and optimise predictive models and machine learning solutions to drive insights from healthcare datasets. Work with large, complex datasets, leveraging Azure, Databricks, or similar cloud platforms for scalability. Build dashboards and data visualisations using tools like Looker, Power BI, or Tableau to … experience working with healthcare data, ideally within the NHS or similar healthcare environments, ensuring compliance with industry standards and best practices. Experience with CRM, marketing analytics, or customer behaviour modelling is a plus. Why Join? Work on a project that directly impacts healthcare decisions. Be part of a fast-paced, high-impact environment where your skills make a real More ❯

plans. With a background in data science and machine learning across various data types and applications, you will work within project teams across disciplines such as climate resilience, flood modelling, ecology, and heritage. Projects may include creating predictive models, transforming large spatial datasets, and developing client-facing data visualisations. This is a technical role requiring team leadership, project … management, and business development skills. Main responsibilities: Data engineering and model development for environmental projects Developing internal tools to support flood modelling Managing client-facing and internal R&D projects Preparing technical documentation and reports Contributing to business development, including proposal writing Mentoring team members and supporting technical skills development Leading and managing team activities Location: Based in Wallingford More ❯

processes. Manage the planning models and templates ensuring consolidation is accurate and efficient. Provide insights into financial trends, variance analysis, and forecasting using data-driven methods. Support planning and predictive modelling for strategic initiatives. Analyse large datasets to identify risks, opportunities, and cost-saving measures. Manage the preparation of consolidated finance packs and presentations for internal stakeholders and … A, preferably in a fast-paced, high-performance environment. 3+ years expertise in BI tools (e.g. Power BI, Tableau, QlikView) and data visualisation. CIMA Qualified Preferred. Proficiency in financial modelling and analysis tools, including Excel, SQL, and data warehousing platforms. Familiarity with ERP systems (e.g., SAP, Oracle) and financial software integration. Analytical mindset with a strong ability to interpret More ❯

AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML solutions into wider business systems and applications - Create robust documentation … AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools More ❯

AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML solutions into wider business systems and applications - Create robust documentation … AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools More ❯

and play a key role in maximizing both customer acquisition and retention across the business. You'll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your work will directly influence business strategy, growth initiatives, and long … and non-technical stakeholders. Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python. Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact. How Will Your Time Be Spent? 30% on Analysis - Mining and analysing customer, growth, marketing, and operations data to uncover insights that inform strategic decisions. … This includes building dashboards, running cohort analyses, and identifying trends and anomalies. 25% on Data Science & Modelling - Developing predictive models (e.g., churn prediction, CLV forecasting, segmentation models), conducting A/B test analysis, and applying machine learning to solve real business problems. Collaborating with engineers to validate and deploy models. 20% on Strategy & Stakeholder Collaboration - Partnering with marketing More ❯

degree or experience in a 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 and visualization tools (Cassandra, Hadoop More ❯

degree or experience in a 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 and visualization tools (Cassandra, Hadoop More ❯

Location: Must be based in the UK Type : Remote Duration: 6 – 12 months Visa sponsorship : No Job Reference : BBBH25040 Job Responsibilities: Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to … design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyse and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Provide Business Intelligence (BI) and data visualization support More ❯

identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent stakeholder management skills and experience More ❯

ambiguity, eager to learn, and ready to make a real impact. Essentials Skills Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar to tell compelling stories through More ❯

ambiguity, eager to learn, and ready to make a real impact. Essentials Skills Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar to tell compelling stories through More ❯

proficiency, automation and ticket handling and management Execute analytical experiments to help businesses make decisionsacross various business units Work with large datasets to identify trends and patterns to build predictive models Education & experience Bachelor degree or higher in Data Science, Data Engineering, Business Intelligence or similar education with focus on Data Science and Analytics; 3+ years' experience as Data … strong knowledge of analytics tools and inhouse reporting (Tableau, Power BI); Strong knowledge of scrum practices and agile mindset; Strong experience with machine learning (ML framework/libraries) and predictive modelling; Strong foundation in statistical procedures for accurate data analysis. Skills & Core competencies Very strong understanding of the principles of machine learning; Very strong analytical skills to translate More ❯

customer base based on demographics, purchase patterns, and behaviour to improve targeting and personalization strategies across un-paid & paid marketing channels. Perform cohort analysis, churn analysis, and lifetime value modelling (as examples) to assess customer retention and growth. Reporting & Visualization: Create and maintain regular reports and dashboards to track key customer metrics such as acquisition, retention, and satisfaction. Use … focus on customer/marketing data. Experience working with CRM, CDP, analytics platforms, and data visualization tools (e.g., Google Analytics, Tableau, Power BI, SQL). Familiarity with customer segmentation, predictive modelling, and other statistical techniques. Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Ability to work with large datasets and More ❯

you'll lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical data. Main duties of the job You will be responsible for delivering a proactive … Integrated Care System (ICS) initiatives. Leveraging your extensive knowledge and technical skills, you'll manage complex information challenges, support forecasting and capacity planning, and contribute to the development of predictive models. You'll also lead and support research, academic, and commercial collaborations, ensuring that the development of data science products and services aligns with the needs of operational, clinical More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

Apply advanced Python techniques to manipulate and analyze large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modeling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings clearly to stakeholders. Stay updated with emerging AI … and Expertise Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, LLMs, and their practical applications. Expertise in data insights, analytics, and predictive modeling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred). Excellent problem-solving and communication skills. Strong understanding 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 ❯

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 ❯

across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist to analyse complex data sets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions. This is an exciting opportunity to work with a forward-thinking organisation that values collaboration, innovation, and the More ❯

across channels (Google, Facebook, affiliates, etc.) to evaluate effectiveness and ROI. Develop and optimise complex SQL queries for large datasets. Utilise Python/R for data analysis, exploration, and predictive modeling. Create dashboards to visualise marketing metrics and performance indicators. Identify trends and insights to recommend improvements in marketing strategies. Collaborate on designing and executing A/B tests More ❯

business intelligence role, ideally in a fast-paced or service-driven environment. Advanced SQL and Excel skills for data manipulation and modeling. Proficiency in Python for analysis, automation, and predictive modeling. Deep experience with data visualization platforms such as Power BI or Tableau. Familiarity with CRM systems (e.g. Salesforce) and customer data analysis. Strong communication skills, with the ability More ❯