351 to 375 of 409 Predictive Modelling Jobs in England

heterogeneous geoscience datasets. Develop methods that preserve geological realism, respect subsurface uncertainty, and improve the conditioning of geological models to available data. Validate predictive models using blind tests, real-world datasets, geological quality checks, and product-relevant scenarios. Collaboration & Innovation Work closely with geoscientists, software engineers, data scientists … product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Lead and contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities. Qualifications ...

watch it happen. This is the stretch zone. Come find out what you're capable of. About the role Klarna runs more than 200 predictive and AI/LLM models across credit scoring, fraud detection, AML/CTF, finance, and operations — and five people are responsible for independently challenging … Edward McAvoy, has depth in software engineering and model development, but limited experience in credit risk and underwriting, and in provisioning, impairment, and IFRS9 modelling for finance. That's the specific gap this position closes: you'll bring hands-on model-building experience in those areas ...

learning, from data collection to deployment and analysis. What We're Looking For Strong proficiency in SQL and Python with experience building and maintaining predictive models. Prior experience as a Data Scientist in a commercial set-up, delivering predictive models/timeseries models to aid sale/demand ...

holder will be a key member of the SBS & Cedant Facultative P&C Pricing and Modelling team supporting business written by SCOR (including SCOR Syndicate), focusing on Property, Construction and Specialty lines of business. The work includes pricing of key individual accounts, working with Underwriters, developing and maintaining pricing … models, conducting pricing related analyses and any other ad-hoc reporting requirements. The job holder will also represent SBS Pricing & Modelling Team in any ongoing and future global projects. Responsibilities Develop, test, and maintain pricing tools Develop and enhance direct & facultative pricing tools and methodology in conjunction with Underwriters ...

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. Build, test and maintain batch ETL pipelines for assigned datasets, following existing teampatterns and standards. Implement changes to existing … data architects, modelers and IT team members on project goals. Strong PC skills including knowledge of Microsoft SharePoint. Nice to have: Experience with data modelling for analytics (dimensional or wide-table patterns). Experience building dashboards or working with BI tooling. Experience with data quality frameworks and pipeline observability. ...

know everything from day one, but you should be able to demonstrate the following: Experience in an insurance pricing role creating and using predictive models in a programming language such as WTW Emblem, WTW Radar, or Python. Proficiency in data pipeline and analysis tools, e.g. Databricks, SQL, PySpark … analyses, to build and maintain high-quality, reliable, sustainable pricing processes. Knowledge of price optimisation and the UK regulatory environment. Extensive understanding of modelling techniques, including GLMs and GBMs, plus a desire to push the boundaries of the applications of machine learning to insurance pricing. Proven ability in Willis ...

Build predictive models for workforce analytics and talent acquisition. You will lead a team of data scientists to uncover actionable insights from complex HR datasets. Requirements Ph.D. or Master's in Computer Science, Statistics, or related field. 7+ years of experience in data science and predictive modeling. Expertise ...

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...

Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with ...

embedded partners to lines of business and HR functions worldwide. You will also collaborate with cross‐functional partners to build self‐service capabilities and predictive models. We value diversity, inclusion, and a culture of continuous learning to drive innovative, data‐driven HR solutions. Job responsibilities Build, scale, and lead … Business Intelligence team to automate recurring reporting and enhance self‐service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high‐quality source data, governance, and entitlements that underpin advisory narratives Required ...

embedded partners to lines of business and HR functions worldwide. You will also collaborate with cross-functional partners to build self-service capabilities and predictive models. We value diversity, inclusion, and a culture of continuous learning to drive innovative, data-driven HR solutions. Job responsibilitiesBuild, scale, and lead … with the Business Intelligence team to automate recurring reporting and enhance self-service capabilitiesCollaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analyticsWork with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narrativesRequired qualifications ...

embedded partners to lines of business and HR functions worldwide. You will also collaborate with cross-functional partners to build self-service capabilities and predictive models. We value diversity, inclusion, and a culture of continuous learning to drive innovative, data-driven HR solutions. Job responsibilities Build, scale, and lead … Business Intelligence team to automate recurring reporting and enhance self-service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narratives Required ...

feature extraction through statistical analysis and biological interpretation. Computational studies. You run your own proof-of-concept investigations: microbiome-compound interactions, community dynamics, predictive biomarkers. You're a scientist with hypotheses, not a technician with a task list. Perturbation data quality. You own the validation layer between the bench … understand molecule-microbiome interactions. About Us Outpost Bio pairs high-throughput functional assays of human-derived microbial communities with causal machine learning to build predictive models of microbiome-compound interactions. Unlike black-box approaches, our Lab-in-the-Loop process tightly couples experimental design and AI development ...

hockey, horseracingand golf. In this role, you will join the execution research team and will be focusing on devising automated betting strategies using our predictive models and algorithms used to market make/seed different bookmakers, market exchanges and predictions markets. Market making strategies, liquidity, price, risk, order book … provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into our internal libraries. ...

exciting opportunity to join a high-performance quantitative trading business developing predictive models and systematic strategies across sports betting markets. · Job title: Sports Betting Quantitative Researcher · Location: Central London/Hybrid (4days on site/1 day WFH) · Job Type: Full-time, Permanent · Salary: £80,000+ base salary + … recruiting on behalf of a high-performance quantitative sports trading business looking for a Sports Betting Quantitative Researcher with proven experience building predictive models within sports betting. You'll develop and improve models and trading strategies across sports markets, working closely with experienced researchers, engineers, traders and the CIO. ...

Arch Europe Insurance Services Ltd in London seeks a senior analytics professional to design and deploy predictive models for insurance problems. You will collaborate across business partners, build advanced analytics solutions and mentor a growing team of data scientists. Candidate should have hands-on experience with real-time predictive ...

Scientist to join the Data & Analytics team and drive data-driven decisions across customer experience, pricing, personalisation, and operations. You will build and deploy predictive models, work with large datasets using Python, PySpark, SQL, and Azure Databricks, and clearly communicate findings to stakeholders. You will join a small, ambitious ...

assurance and ongoing monitoring of credit risk models and decision strategies. Working closely with Data Science, which leads the development and retraining of core predictive models, the Senior Decision Scientist will ensure that models are robust, appropriate for their intended use and translated into stable, controlled credit decisions. This … decision science, data science, credit risk analytics, model validation or a related quantitative role. Strong knowledge of statistics and data science, with sufficient modelling expertise to reproduce, evaluate and independently challenge predictive models. Advanced SQL skills for data extraction, validation, reconciliation and performance analysis. Advanced Python skills ...

build of credit risk models, treating ML as software engineering so everything you ship is fast, reproducible and robust. Design modelling frameworks for decisioning, pricing and fraud that move company-wide P&L, not just a dashboard metric. Build credit policies and lending strategies that expand our addressable market … contributing to the libraries the whole team relies on. You’ll stand out if you've worked on highly automated lending, price sensitivity modelling, or Customer Lifetime Value. What this role could turn into Senior Data Scientists here tend to grow into Staff or leadership roles with broader influence ...

inform who we lend to, on what terms, and how we grow into new segments where historical data is limited. You'll steer modelling priorities, define what good looks like for the portfolio, and translate analytical trade-offs into commercial decisions for a cross-functional squad. The CompanySmall businesses … adequately protected. The squad has a solid baseline of controls in place and is now investing to build the analytical layer on top — predictive models, real-time monitoring, and a joined-up strategy across risk. This new role leads that shift, defining what the squad optimises ...

This role is key to integrating Artificial Intelligence (AI) into financial audit processes, with a focus on creating and implementing Generative AI (GenAI) and predictive analytics solutions to boost efficiency, quality, and innovation. As part of the Financial Audit Data Analytics Team, the AI Specialist will take the lead … ChatGPT Enterprise to support audit methodology. Build client-specific AI copilots and automation workflows for audit tasks such as planning, documentation, and evidence review. Predictive Analytics & Machine Learning Experiment with ML algorithms (e.g., K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk assessment, and forecasting. Collaborate with ...

IT. You will lead cross-functional teams to deliver scalable, trusted, and sustainable digital products that turn experimental and observational data into actionable insights, predictive capabilities, and decision-support solutions. What You Will Do Define and drive the POD vision, value hypotheses, multi-horizon roadmap, and product portfolio strategy. … outcomes through Agile/Lean product practices. Strong product strategy capabilities, including vision setting, roadmapping, portfolio management, prioritization, and value measurement. Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products. Understanding of AI/ML and agentic AI concepts, including human ...

leading sports analytics firm in London is seeking a Senior Data Scientist specializing in cricket modelling and simulation. The successful candidate will perform statistical analysis, develop predictive models, and ensure the data's robustness and validity. A PhD or equivalent industry experience is required, along with proficiency ...

insights and drive real-world outcomes. You will help establish the company’s first in-house ML capability, working within Data & AI to develop predictive models that enhance decision making, performance and customer value. The role involves applying advanced analytics, statistical modelling and ML techniques across multiple domains ...

build the next generation of product features powered by AI, ML, and intelligent automation. This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will work on backend services, APIs and MCPs that bring automation, prediction … help Spendesk move from isolated intelligence components to real, user-facing product capabilities. In practice, this means partnering with ML Engineers to productionize predictive logic, expose it through clean APIs and services, and integrate it into workflows that automate tasks, simplify decision-making, or anticipate user needs. ...