20 of 20 Permanent Predictive Modelling Jobs in the South East

Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow … GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud ...

helping teams across Marketing, Sales, Customer Services and Commercial Strategy make better, evidence-based decisions. The role will cover reporting, customer analytics, forecasting and predictive modelling, with exposure to increasingly automated and AI-enabled analytics. Hybrid working – 3 days in Oxfordshire office, 2 from home Key Responsibilities Develop … behaviour, demographics, competitor activity and market trends. Help develop and maintain commercial intelligence datasets and improve the quality and accessibility of commercial data. Support predictive modelling across acquisition, churn, upgrades, customer lifetime value, marketing performance and forecasting. Analyse pricing trials, marketing campaigns, proposition launches and other commercial experiments ...

work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial performance, while helping to shape the next generation of predictive modelling capabilities. The Company They are a well-established consumer-focused organisation undergoing significant investment in data, analytics, and technology. With a strong … emphasis on innovation, they use advanced machine learning and predictive modelling to support strategic decision-making and deliver better customer outcomes. Their analytics community brings together Data Scientists, Analysts, and Data Engineers who collaborate to solve complex business challenges. They foster a culture of curiosity, continuous improvement ...

improve business performance. You'll be involved in: Analysing and optimising pricing based on supply and demand Looking at price elasticity, forecasting and predictive modelling Evaluating pricing strategies and identifying opportunities for improvement Supporting the transition from rules-based pricing towards more model-led and experimental approaches Creating … challenge analytical approaches. About You We're looking for a Senior Pricing Analyst who is: Strong technically, with experience in pricing analytics, forecasting, regression, predictive modelling or price elasticity Comfortable getting hands-on with data and analysis Commercially minded, with a strong understanding of how analytics can influence ...

world impact. About the Role As a specialist in bioinformatics and computational biology, you'll bring deep expertise in large-scale omics data and modelling methods and take a leading role in building the tools we use to make sense of high-throughput biological data. As an integral member … multi-omics data (transcriptomics, proteomics, metabolomics) : from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience : building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

similar. Excellent stakeholder management and communication skills. Commercial awareness and the ability to turn data insight into business outcomes. Nice to Have: Knowledge of predictive modelling, pricing, enrichment, or customer analytics. Exposure to machine learning and advanced statistical techniques. Benefits: Hybrid working & flexi-time Annual bonus opportunity. ...

important decisions. You will: Develop and deliver the analytics strategy and roadmap for pricing, promotions, range, space, and trading analytics Lead the creation of modelling frameworks to support commercial decision making Deliver actionable insights that improve revenue, margin, stock productivity, and customer outcomes Influence pricing, promotional, range, and store … portfolio decisions across the business Apply advanced analytical techniques including forecasting, optimisation, predictive modelling, and elasticity analysis Act as the senior analytics partner to stakeholders across commercial, retail, finance, and operational teams Establish best practice across analytical methodologies, governance, and delivery Build and develop analytical capability while helping ...

focused on developing innovative approaches to customer risk assessment and pricing. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models that improve pricing and customer selection strategies Exploring and evaluating new data sources to identify commercial opportunities Developing geospatial and footprint … team members SKILLS AND EXPERIENCE The successful Senior Data Scientist will have the following skills and experience: Strong commercial experience delivering machine learning and predictive modelling projects Advanced Python and SQL skills Experience working with large and complex datasets Knowledge of machine learning techniques such as XGBoost, CatBoost ...

focused on developing innovative approaches to customer risk assessment and pricing. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models that improve pricing and customer selection strategies Exploring and evaluating new data sources to identify commercial opportunities Developing geospatial and footprint … team members SKILLS AND EXPERIENCE The successful Senior Data Scientist will have the following skills and experience: Strong commercial experience delivering machine learning and predictive modelling projects Advanced Python and SQL skills Experience working with large and complex datasets Knowledge of machine learning techniques such as XGBoost, CatBoost ...

Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. ...

within the Data and Insights function, you'll provide expert analysis of the student recruitment pipeline, from enquiry through to enrolment, using forecasting, scenario modelling and performance insight to identify risks, highlight opportunities and support informed decision-making across Recruitment, Admissions, Marketing and Academic teams. What … functions. Experience with CRM systems, applicant data or student recruitment platforms would be advantageous, as would knowledge of international student recruitment, marketing analysis or predictive modelling techniques. Why BIMM University We are a values-led organisation, meaning our core values underpin all that we do: Believe in Everyone ...

within the Data and Insights function, you'll provide expert analysis of the student recruitment pipeline, from enquiry through to enrolment, using forecasting, scenario modelling and performance insight to identify risks, highlight opportunities and support informed decision-making across Recruitment, Admissions, Marketing and Academic teams. What … functions. Experience with CRM systems, applicant data or student recruitment platforms would be advantageous, as would knowledge of international student recruitment, marketing analysis or predictive modelling techniques. Why BIMM University We are a values-led organisation, meaning our core values underpin all that we do: Believe in Everyone ...

Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. ...

encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems. Responsibilities include: Building predictive machine learning models using large, complex datasets Developing innovative pricing and customer selection models Creating footprint (geospatial) models using alternative data sources Developing residual … while leading your own projects from concept through to delivery YOUR SKILLS AND EXPERIENCE Strong Python and SQL experience Commercial Machine Learning experience Strong predictive modelling background Comfortable working with large, messy datasets Experience solving complex business problems using data Experience mentoring or supporting junior team members Exposure ...

stakeholders Your Skills & Experience Strong commercial Data Science experience in customer, marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks ...

Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. ...

uncover trends, patterns, and insights that drive marketing strategies.Collaborate closely with cross-functional teams to develop data-driven solutions that enhance client campaigns.Create predictive models and algorithms that inform decision-making and optimise marketing performance.Present your findings in a clear and engaging manner to stakeholders, ensuring strategies are backed ...

strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing … Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation Evaluating and implementing new data sources, methodologies, and analytical approaches Reviewing predictive models developed by actuarial and data science teams Determining the most effective application of model outputs within pricing algorithms Identifying customer segments and pricing ...

real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing ...