26 to 50 of 197 Predictive Modelling Jobs in England

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯

challenges using cutting-edge technologies. KEY RESPONSIBILITIES Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value. Build predictive models to assess media effectiveness, forecast customer behavior, and recommend personalized content or products, informed by a deep understanding of customer journeys and marketing objectives. Implement end-to-end More ❯

This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey), data pre-processing with a data scientist mentality ("automate & re-use"). Small Language Models: be able to prepare … custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate advanced statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member … and interpersonal skills Solid project management skills Demonstrated experience building and maintaining client relationships Commercially focused mindset Coaching, Leadership and Management experience Technical skillset: Segmentation & Discriminant analysis & tools (essential) Predictive modelling (e.g. logistic regression) (essential) Choice/Allocation based models (essential) Decision/Regression based trees (essential) Key Driver analysis methods (essential) Multivariate analysis (essential) Machine learning/ More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals … lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies … in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network More ❯

the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals … lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference methodologies … in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network More ❯

areas such as workforce planning, engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven More ❯

actionable results Strong PowerPoint and presentation/communication skills Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Strong SQL skills required Experience in Python with predictive modelling, regression techniques as well as wider techniques like clustering/random forest is desirable Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy More ❯

techniques such as k-means, latent class, hierarchical, and factor analysis. Understanding of working with market research and customer databases. Knowledge of statistics and machine learning applications. Experience with predictive modeling using linear models, XGBoost, discriminant analysis, etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data compliance. Experience working with third-party More ❯

culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Core Qualifications More ❯

culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What You More ❯

culture of critical thinking, continuous learning, and technical excellence. Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. What Youll More ❯

analytics ecosystem. This will include, but not be limited to, business performance management reporting and visualisation, resource optimization analytics, sub-national/account-level opportunity mapping, analytics innovation, advanced modelling execution and partnership with the brands on strategic analytical priorities. The role will be accountable for: Market and Brand Analytics: Support and execution of analytics reporting, including secondary data … analysis, advanced analytics/data science, and modelling Execution of customer analytics, segmentation and targeting, promotional resource allocation, field force sizing, omnichannel analysis, etc. Effectively collaborate on the delivery of advanced analytics including predictive modelling, data science and machine learning, as needed Seek continuous improvement, including identification of new capabilities and/or data to maximize Pfizer … and deliver accurate and effective performance measurement solutions are built and maintained Monitor the external marketplace/competitive landscape and ensure clear insights are driving commercial decisions Support data modelling and forecasting needs, including for LRF and operating plans. Primary Market Research Management: Support PMR execution and identify opportunities to elevate PMR data to enrich secondary analytics and/ More ❯

Head of Modelling & Optimisation, Head of Pricing Transformation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within ourRetail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading technical … pricing solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to … help innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams More ❯

stakeholders and engineering partner to translate high-impact questions into scalable data science solutions Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation You'll need to have a strong combination of the following: Please note we use years of experience as a guide but we certainly will consider applications … or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g., Git) and a collaborative development More ❯

such as TensorFlow, PyTorch, or Scikit-learn. Any experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity. Some experience in data analysis, predictive modelling, or machine learning, including academic or placement/internship experience. At Hawk-Eye Innovations, we value diversity and treat all employees and job applicants based on merit More ❯

MSc/PhD in Data 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 stakeholder engagement. If this role More ❯

MSc/PhD in Data 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 stakeholder engagement. If this role More ❯

and take it from there. The Data team drives the decision making process at Lightricks. We use machine learning and statistics to gain insights about our users and develop predictive models. Our classification and recommendation systems allow us to provide better experiences for our users and carve Lightricks' path to success. More ❯

demands skills and perseverance to modernise tech stacks and data pipelines of well established StarMine Quant models in Python to provided specifications, and to build brand-new quantitative/predictive models with help of machine learning algorithms working in collaboration with our data science and Research teams. Build data pipelines to break down complicated calculations into stages. Main Responsibilities More ❯

world problems-turning complex healthcare and operational data into actionable insights that directly improve quality of care across thousands of lives. If you want to push the boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to … drive product features and strategic decision-making. Design and implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that highlight trends, correlations, and risk factors (e.g., falls, infection prevention) using Azure Machine Learning and the wider Microsoft Azure data stack. Develop scalable, reusable workflows with Azure Data Factory, Synapse Analytics, and Databricks. … fairness. Mentor junior team members and help shape a strong, ethical data science culture. What You'll Bring Proven experience in data science with a strong track record in predictive modelling, correlations, and trend analysis. Hands-on expertise in the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills More ❯

Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that power better … EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations Experience managing multiple projects with More ❯

play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable … of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support More ❯

Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working Develop … implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance We believe the best work happens when we're together, fostering creativity, collaboration, and More ❯

on shaping our pricing models. As a Pricing Analyst, you will use your advanced analytical skills to: Monitor our portfolio and deliver innovative pricing solutions, Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions, Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers' financial … results by balancing product volume and profitability The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels. Key Responsibilities: Support the design, development and implementation of a robust and innovative performance monitoring framework Contribute to … impact analytics. Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight. Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models. Contribute to delivery of the pricing roadmap in line with More ❯