26 to 50 of 68 Predictive Modelling Jobs in the South East

Own the business data platform ( GCP ) - integrating multiple data sources across the organisation Oversee data governance and compliance frameworks Champion standardised, accessible reporting via Power BI and Omni Deliver predictive modelling and machine learning projects (e.g. CLV, propensity scoring) Partner with digital, finance, and operations teams to embed data into decision-making Support and drive key strategic projects … ll Bring Proven leadership in data and analytics roles, with a commercial focus Strong stakeholder management and cross-functional influencing skills Hands-on experience with data architecture, governance, and predictive analytics Ability to translate data into actionable insights that drive business value Experience building or scaling a data function Package £120,000 base salary Private healthcare Free daily lunch More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

retail company is looking for a talented senior insight analyst to join their customer analytics team. The role will focus on advanced analytics such as customer segmentation, profiling and predictive modelling and in turn, providing easily understood actionable insight for a variety of stakeholders using SQL, R and Python. Duties and Responsibilities Investigating, interpreting and understanding complex unstructured More ❯

projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be More ❯

SME for infrastructure design , governance, and compliance frameworks. Oversee reporting and insights across Power BI and Omni (a modern BI tool similar to Looker), defining and standardising KPIs. Drive predictive analytics and machine learning initiatives, such as customer lifetime value and propensity modelling. Partner cross-functionally to support commercial teams - hospitality, retail, fan engagement, digital, and finance. Key projects … on the roadmap Finance ERP system integration Fan data enhancement via CDP Club-wide reporting rollout Predictive modelling and segmentation F&B and digital journey optimisation Tech environment GCP - data warehouse and pipelines Power BI/Omni - visualisation and exploration SQL, Python, DBT, Docker Exposure to web & app event tracking and modern data tooling About you Proven leadership 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

do things. If you're excited by the idea of testing your theories and building things that matter, this could be the perfect fit. You'll create and launch predictive models that tackle all sorts of challenges across our customer lifecycle. You'll be diving into complex datasets to find the hidden opportunities and helping us make smarter decisions. More ❯

REMOTE Role PurposeAs a D365 CE Lead, you will be responsible for designing and delivering intelligent, data-driven customer engagement strategies across multiple channels. You will leverage behavioural insights, predictive modelling, and segmentation to drive relevance, increase customer retention, and grow customer lifetime value.Key Responsibilities Next Best Section (NBS) Decisioning- Develop and maintain a model that recommends the More ❯

integrate new monitoring solutions and emerging technologies to enhance efficiency and service quality. Data-Driven Monitoring: Use metrics, logs, telemetry, and analytics to detect anomalies, identify trends, and develop predictive models and advanced alerting systems. Collaborate Across Teams: Work with Product, Core Engineering, Video Engineering, and Architecture teams to align monitoring capabilities with market needs and overall product architecture. More ❯

fuel strategic conversations. Keep the pulse of the business alive with evolving dashboards and insights that matter. Collaborate across teams to reshape how data flows and informs action. Explore predictive models and machine learning to unlock what's next. Deliver sharp insights that help teams make smarter, customer-first decisions. Harness a powerful tech stack - from Salesforce Media Cloud … drive clarity. Elevate reporting with stakeholders, turning complexity into crisp, actionable views. Spot gaps, surface opportunities, and help business units stay ahead of the curve. Dive into forecasting, financial modelling, and storytelling through data. Collaborate globally, connecting dots across departments to fuel long-term strategy. Lead the shift to a new BI system (Domo), transforming how insights are shared … job opportunity Excellent communication skills and the ability to communicate your role to analytical business partners Ability to make practical connections from data to business results Financial/data modelling experience Confident working with data using SQL - building queries that unlock insights. Skilled in using Python to explore, shape, and make sense of complex datasets. You will bring financial More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯