251 to 275 of 648 Permanent Predictive Modelling Jobs

and optimisation algorithms that drive media efficiency. Research and apply a broad range of data science methodologies, demonstrating a questioning mindset and resolving data issues. Use Python to create predictive models, analyze data, and build trends and behavioral predictions. Translate business requests into successful data science implementations in partnership with the product team and stakeholders. Understand project management at More ❯

and optimization algorithms that enhance media efficiency. Research and apply a broad range of data science methodologies, demonstrating a questioning mindset and resolving data issues. Use Python to create predictive models, analyze data, and develop trends and behavioral predictions. Work closely with business teams (Product and Stakeholders) to translate business questions into data science solutions. Understand project management at More ❯

contribute to innovative, data-driven solutions at one of the world's leading professional services firms. As a Data Scientist at PwC, the successful applicant will develop and deploy predictive models, design scalable APIs, and support strategic decision-making across various industries. The role requires a deep understanding of data science methodologies and the ability to work collaboratively across More ❯

based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. More details: Full time, permanent role Competitive salary Hybrid working (3 days office/ More ❯

based lakehouse implementation . Experience with machine learning (ML) and AI frameworks, particularly within Databricks (e.g., MLflow, AutoML, or PyTorch/TensorFlow). Understanding of AI-driven analytics and predictive modeling to enhance BI solutions. Think you can make a difference? WE ARE your future. Full time, permanent role Hybrid working (3 office/2 home) Digicare+ Provided by More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary: £60,000-£90,000 📍Location: London (x3 More ❯

Data Scientist - Risk Modelling | Automotive🚘 | London (Hybrid) | £60,000-£90,000 Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road. My client are unique in that they provide comprehensive insurance as … field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you: 💰Salary: £60,000-£90,000 📍Location: London (x3 More ❯

is with Pearson, an inclusive employer and a member of myGwork – the largest global platform for the + business community. Please do not contact the recruiter directly. Data Scientist (Predictive Analytics Specialist) Location: Hybrid working, minimum 2 days in the Manchester (Salford Quays) Office Reports to: Head of Data Salary : £50K, plus target bonus of 8% About Pearson: Learning … transformation programme to migrate from on-prem to cloud based, cost effective, scalable and resilient services. About The Role: We are seeking a talented Data Scientist to drive our predictive analytics capabilities across commercial and operational processes. The successful candidate will apply advanced analytical techniques to forecast trends, optimise performance, and inform strategic decisions. This role will work closely … with cross-functional teams to enhance data-driven decision-making and contribute to the continuous improvement of our operations. Key Responsibilities: Predictive Modelling: Develop and implement predictive models to forecast key metrics such as sales performance, customer and learner behaviour, and operational efficiency. Data Analysis & Insight : Analyse complex datasets to uncover patterns, trends, and correlations that inform More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events. Responsibilities: Utilise advanced statistical … techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow … researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statistical modelling and high levels of automation. 📍 Location: Central London (5 days … a week, with some flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/… Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯

and immediate impact on the future profitability and growth of the business, with key targets to increase conversion, retention and achieve target loss ratios. Responsibilities: Develop, validate and review predictive models including machine learning models Run data for modelling, pricing and monitoring Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring. …/send instructions for rate releases and review of rates into rate engine/live environment. Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways Execution, development and project management across all stages … manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g.Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets Experienced in the use of a More ❯

to work on a specific project. Working alongside a close-knit team of developers and engineers, the KTP Associate will lead an innovative project to design, develop and implement predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data … monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to … research excellence (REF 2021). Computer Science also holds an Athena Swan Silver Award. Specific responsibilities: The successful candidate will lead the development of advanced machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse More ❯

individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning. Initial Focus Areas Marketing & Channel Measurement - Understand and optimise … marketing investments and channel performance. User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value. Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making. Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets. Your Skills and Experience: We're looking for a pragmatic and commercially More ❯

individual contributor (IC) path — both well-supported in the organisation. You'll collaborate with stakeholders across marketing, product, engineering, and leadership, helping drive key decisions through analytics, experimentation, and predictive modelling. Your work will be highly visible and make a tangible impact on customer experience, commercial performance, and strategic planning. Initial Focus Areas Marketing & Channel Measurement - Understand and optimise … marketing investments and channel performance. User Engagement & Churn - Analyse behaviours to drive customer retention and lifetime value. Forecasting & Predictive Modelling - Build models that inform planning, budgeting, and strategic decision-making. Commercial Opportunity Identification - Partner with commercial teams to surface high-value growth opportunities across key markets. Your Skills and Experience: We're looking for a pragmatic and commercially More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the … the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Exceptional written communications skills More ❯

with several years of experience looking to make the step up, or someone with experience in a similar role within data science. The Role Led campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking/loyalty platforms and PowerBI for visualisation) Drive proactive predictive modelling elements that identify growth opportunities for clients More ❯

with several years of experience looking to make the step up, or someone with experience in a similar role within data science. The Role Led campaign reporting and RFM modelling, working with the internal tech stack (including CRMs, booking/loyalty platforms and PowerBI for visualisation) Drive proactive predictive modelling elements that identify growth opportunities for clients More ❯

learning, experimentation, and the development of production-grade models. Sitting within a cross-functional data team, this is a hands-on leadership role with the autonomy to shape the modelling roadmap, contribute to R&D strategy, and influence pricing and risk decisions across multiple business lines. You’ll manage a small team of data scientists, guiding them through delivery … outcomes in a data-rich, regulated environment. Key Responsibilities Lead a high-performing team of data scientists to deliver cross-functional, impactful AI/ML initiatives Design and implement predictive models and machine learning solutions for core business areas Build and productionise models in collaboration with data engineers and platform teams Apply advanced statistical techniques to extract insights and … guide product and pricing strategies Work closely with stakeholders to understand requirements, define modelling goals, and demonstrate business value Evaluate vendor data sources, assess economic and technical feasibility, and lead test-and-learn initiatives Contribute to the modelling roadmap, experimentation frameworks, and internal data science tooling Produce clean, maintainable, version-controlled code and refactor solutions into reusable libraries More ❯

trading desk to improve performance and manage risk. What You’ll Bring 3+ years’ experience in a similar role. Extensive knowledge of Power and Gas markets. Demonstrable advanced mathematical modelling and statistical analysis skills. Ability to work with large data sets and identify key insights. Proficiency in risk analysis and price forecasting. Advanced level Python experience. Experience with data … different stakeholders across the business. High attention to detail and accuracy. Creative approach to problem-solving, curious, and open to discussion. Desirable Experience with AI/ML techniques for predictive modelling and optimisation. Commercial acumen to understand the financial impact of strategies and decisions made by the desk. Benefits & perks Competitive salary Vitality health insurance and dental cover More ❯

data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with advanced predictive models, MLOps best practices, and scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll … improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting, risk, cost-to-serve and cost-to-acquire modelling Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning More ❯