76 to 100 of 167 Predictive Modelling Jobs in England

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

innovation and delivery of AI solutions, encompassing both traditional and generative approaches. AI Strategy & Implementation: Develop and execute the company's AI strategy, encompassing both traditional AI techniques (e.g., predictive modeling, classification, regression) and Generative AI models. Identify opportunities to apply these technologies to improve guest experiences, streamline operations, and increase profitability. Project Management: Oversee a portfolio of AI More ❯

and refining statistical models in SAS — including propensity , sentiment , behavioural , density , and survival models . Key Requirements: Strong, hands-on SAS programming experience – essential Proven experience in statistical or predictive modelling (any industry background) Ability to design, build, and validate models such as propensity , sentiment , or survival models Experience in model oversight, validation, or governance Strong STEM related … education Analytical mindset with a drive to challenge and improve modelling frameworks Comfortable working both independently and collaboratively in a changing environment This is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over how statistical modelling evolves and develops. If you’re a SAS Modeller with a passion for … statistical modelling and real-world problem solving — from propensity to sentiment and everything in between — this could be the perfect next step. Please apply for full job & interview details. West Midlands HQ – 2 days per week on-site Permanent | £45,000 – £50,000 + benefits Please note: All applicants must have the legal right to work in the UK More ❯

with senior stakeholders across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the … design and scaling of the central data platform in GCP. Oversee governance, compliance, and data quality frameworks. Standardise reporting and insights delivery through Power BI and Omni. Deploy predictive analytics models, including CLV and propensity scoring. Partner with cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing … experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. Background within entertainment, media, or audience-based industries is advantageous. More ❯

Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure … a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to More ❯

Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure … a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to More ❯

Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure … a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to More ❯

Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure … a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to More ❯

Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition … actionable insights to stakeholders across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure … a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to More ❯

established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is … mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases More ❯

established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is … mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases More ❯

The successful Lead Data Analyst responsibilities will include: Lead end-to-end analytical projects across pricing, promotions, and customer segmentation, delivering insights that drive commercial performance. Develop and deploy predictive models to forecast demand, optimise price elasticity, and measure promotional effectiveness. Translate analytical outputs into clear, actionable recommendations for commercial, marketing, and finance stakeholders. Partner with senior leaders to … Analyst will have the following skills and experience: Strong technical skills in SQL and Python, with experience in building models for pricing, forecasting, or customer segmentation. Proven experience applying predictive modelling and statistical techniques to solve commercial challenges. Excellent stakeholder management - able to work autonomously, prioritise effectively, and communicate complex insights with clarity. A proactive, ownership-driven mindset More ❯

on effective AI adoption and 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 concepts clearly to non-technical More ❯

on effective AI adoption and 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 concepts clearly to non-technical More ❯

development for test automation (Python, C++, or C#). Experience with metaheuristic optimisation (e.g., GA, simulated annealing, particle swarm). Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation. You should have a collaborative mindset to work closely with hardware engineers and manufacturing teams. A familiarity with production test time optimisation in semiconductor More ❯

to £65,000 + package Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools More ❯

/ML Implementation: Design and implement AI/ML algorithms to automate and enhance geological interpretation. Develop AI/ML algorithms to improve geological realism in subsurface models. Validate predictive models using blind test datasets and real-world scenarios. Work closely with colleagues from multiple disciplines to refine and enhance workflows. Stay current with AI/ML and geoscience More ❯

places Data Science at the heart of its business, using cutting-edge UK property data to deliver powerful insights for real estate partners and retailers. By leveraging advanced analytics, predictive modelling, and customer segmentation, the company helps clients better understand and engage with their audiences, improving marketing precision, timing, and overall performance. With a strong technical foundation and More ❯

understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD ️ Define More ❯

experience with AWS, Azure enhance the Customer Data Platform (Twilio Segment), and drive insight-led decision-making across the business. You'll also play a key role in embedding predictive models like CLV and propensity scoring into core systems and processes. Were seeking a hands-on data leader with strong experience in cloud architecture, Data engineering, data governance, BI More ❯

be responsible for: Evolving and scaling a centralised data platform in GCP Overseeing governance, compliance and data quality frameworks Leading reporting and analytics through Power BI and Omni Building predictive models such as CLV and propensity scoring Partnering with senior stakeholders to define and deliver data roadmaps Driving major projects such as ERP integrations, CDP development and digital journey More ❯