151 to 175 of 332 Permanent Predictive Modelling Jobs

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 ❯

health care provision to Manchester. Within this role you will work as part of a dynamic team providing health intelligence for the Trust utilising the latest analytical and statistical modelling techniques and visualisation tools such as R, Python, Data Bricks and Power BI. You will produce innovative and informative intelligence that will support decision making and strategic thinking across … of service change, provision or development. assist the Trust to interpret the available data and provide a judgement on actual performance and the ability to deliver operational plans, using predictive modelling techniques. To achieve our aim of system-wide transformation we're developing a culture of high-quality compassionate and inclusive leadership and staff engagement, based on a … opinions Collaborative approach and good team working Ability to work effectively and efficiently under pressure SQL Server experience and knowledge Senior stakeholders management and engagement Desirable Power BI experience Modelling and predictive analysis skills and experience Statisical applications such as SAS, R etc Certificate of Sponsorship Applications from job seekers who require current Skilled worker sponsorship to work 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 ❯

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 ❯

that drive media efficiency Demonstrate a questioning mindset, research and apply a wide range of data science methodologies. Able to identify and resolve data issues Use Python to create predictive models - analyse wide range of data and build trends and behavioural predictions Work closely with business (Product Team and Stakeholders) to translate business requests, questions and concerns into successful … deliver technical products and data solutions Understanding of Media Planning, preferably within AdTech Experience of working in large global enterprises in delivering data-driven solutions Experience with agent-based modelling solutions Choreograph is WPP's global data products and technology company fueling growth for the world's most admired brands. Discover more about Choreograph at (Please note this is More ❯

in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies. Knowledge of wider data warehousing, data architecture of data modelling concepts. Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production. Working knowledge of CI/CD practices. Tech Stack (Nice-to-Haves): Experience … play for this role Experience working with CI/CD pipelines through Github Experience working in a large data transformation/migration Knowledge of advanced analytics techniques, such as predictive modeling and machine learning Experience taking ML solutions into production, and exposure to data storage and processing within one of the three major cloud providers (GCP, Azure or AWS More ❯

you if you... Have a broad of understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies Are skilled in one of reinforcement learning, predictive modelling (classification and regression) and have a solid understanding of recommendation systems Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have More ❯

complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or … establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda More ❯

scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position More ❯

scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position More ❯

analytics. Knowledge of RGM and RTM. Experience with Nielsen data. Proficiency in data analysis tools such as SQL, Python, Power BI, or Tableau. Experience working with large datasets and predictive modeling to support business decisions. Understanding of digital commerce, omnichannel strategies, and supply chain dynamics. Ability to collaborate with stakeholders across marketing, finance, and operations to drive commercial success. More ❯

in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will of course be competent in agile data development, with a focus on innovation More ❯

in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work with the engineering team to provide further insights to our customers. You will of course be competent in agile data development, with a focus on innovation 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 ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers 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/PhD in … Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python/R (mandatory); MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯

Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers 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/PhD in … Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python/R (mandatory); MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯

Hiring: Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers 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/PhD … 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 Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯

investment in their cutting-edge analytics platform, they are now looking to recruit a Data Scientist to join their high-performing data science team. Responsibilities: Build and deploy advanced predictive models that solve real-world challenges Collaborate closely with other data scientists and internal stakeholders Continuously improve model performance and adapt to new data or use cases Research and … feel free to connect with me on LinkedIn - just search Beth Allen Searchability . I look forward to hearing from you. Key Skills: R, Python, SQL, AWS, Data Science, Predictive Modelling, Machine Learning, Analytics More ❯