25 of 25 Predictive Modelling Jobs in the South East

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 ❯

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 ❯

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 ❯

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 ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model monthly onsite collaboration at a modern office in Thames Valley Park Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in Thames Valley Park Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

dashboards and BI tools (Power BI and DOMO) for commercial use Lead forecasting, reporting automation, and strategic analysis cycles Train stakeholders and champion a self-service data culture Support predictive modelling to forecast trends and identify opportunities Ideal Candidate 3-5 years in a commercial analytics role (media, digital, retail, tech or FMCG experience ideal) Strong in SQL More ❯

BI, Tableau, etc.)• Previous exposure to insurance pricing, regulatory frameworks, and governance is ideal• A collaborative team player, able to influence stakeholders at all levels• Experience or interest in predictive modelling and optimisation techniques Why this role? - You’ll be joining a high-performing and collaborative team where your ideas are valued and backed with resources. You’ll More ❯

Previous experience delivering technical insights to executive audiences Reasons to Apply: Apply your academic training in a hands-on, business-oriented environment Enjoy creative freedom and flexibility in building predictive models Join a friendly, cooperative team culture Gain professional growth through engaging and diverse assignments Benefits on Offer: Access to private medical insurance Generous pension contributions and a bonus 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 ❯

training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization efforts across multiple More ❯

and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross … functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and … Actively participate in design meetings to help shape the solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: Mentor junior data scientists and provide peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to More ❯

bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work More ❯

content, engagement and conversion based product selection, back in stock opportunities and secondary content • Monitor email newsletter performance and base health, with a focus on lifecycle status monitoring and predictive models, identifying opportunities for development and optimisation to drive customer engagement, conversion and loyalty • Drive subscriber value and base growth with omnichannel lead generation initiatives such as data capture More ❯

impact, they're now looking to expand their engineering function with two Full Stack Developers. This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies. Key Responsibilities Design, build, and maintain full-stack software solutions in C#/.NET* Develop predictive models for More ❯

bring: PhD in a relevant field (or equivalent experience in applied research) Experience working in areas such as: NLP (e.g. text mining, entity linking, transformer models) Graph ML (e.g. predictive models, knowledge graphs) Knowledge representation, ontologies, or semantic reasoning Strong Python programming skills Familiarity with at least one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work More ❯

you will have the opportunity to share ownership in solving this problem end to end. From exploring new data sources for building features, to design and put in production predictive models and make sure they perform consistently over time. We have available terabytes of flights, events and news data and we constantly add new data sources. What we are More ❯

you. Core responsibilities Customer insights : interpret and analyse a suite of daily, weekly, and monthly dashboards to identify key trends, opportunities, and risks across the business. Customer behaviour analysis & modelling: Carry out deep dive analyses on customer behaviour, including geo-demographics, time of day, and transactional data. Investigate drivers of retention, and providing insights into predictive models to More ❯

integration and optimisation of cutting-edge systems. As a pivotal member of our Finance team, you will: Drive Strategic Initiatives : Analyse financial implications of transformation and diversification strategies, create predictive models, and support cash flow forecasting. Enhance Data Governance : Ensure data accuracy and compliance, conducting integrity checks to support audit readiness and regulatory standards. Collaborate Across Teams : Partner with More ❯

Their high team retention speaks volumes about the supportive and engaging environment they've cultivated. THE ROLE: As a Principal Software Engineer, you'll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You'll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You'll More ❯

the fastest growing fintech companies in the UK, and are profitable, meaning they are undergoing rapid growth. THE ROLE You will be doing the following daily: Develop credit risk predictive ML models across their credit card portfolios. Mainly working across the companies scorecards. Enhancing the existing model suite, while gaining exposure to some pricing models. Work end-to-end … Work with a diverse range of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE Must have credit modelling experience, focusing on scorecards or predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python, and SQL. Strong knowledge of More ❯

scientists and LLM use cases and Data Engineering with Graph DB experience and Vector DB experience. As a Data Scientist, you will be responsible for analysing large datasets, building predictive models, and extracting meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop … and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science projects. * Communicate findings and insights effectively to stakeholders, presenting complex … concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statistical modelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement of data science methodologies, tools, and frameworks. Key Skills & Experience: * The More ❯

days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. … on business needs, this role may perform a combination of some or all of the following duties. Design and implement robust time series models for forecasting, anomaly detection, and predictive maintenance. Collaborate with product and engineering teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine … Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines. Experience writing clean, efficient, and modular More ❯

highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python (5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration tools : Azure data factory , airflow More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience)London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning … predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements YOUR … SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary from More ❯