351 to 375 of 751 Predictive Modelling Jobs in England

developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting the evaluation of business … change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging trends in analytics and supporting the professional development of colleagues in the field. Engaging with internal and external analytical … communication, interpersonal, and stakeholder management capabilities. Desirable: Postgraduate qualification in business intelligence or a relevant specialism. Understanding of public sector operations or experience in a comparable environment. Knowledge of predictive analytics and programming languages relevant to data science. This role offers an excellent opportunity for a data-driven professional to apply their skills in a challenging and rewarding environment More ❯

developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting the evaluation of business … change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging trends in analytics and supporting the professional development of colleagues in the field. Engaging with internal and external analytical … Excellent communication, interpersonal, and stakeholder management capabilities. Postgraduate qualification in business intelligence or a relevant specialism. Understanding of public sector operations or experience in a comparable environment. Knowledge of predictive analytics and programming languages relevant to data science. This role offers an excellent opportunity for a data-driven professional to apply their skills in a challenging and rewarding environment 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 ❯

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 ❯

now partners with a diverse range of organizations across sectors like geolocation and manufacturing. Their hands-on, consultancy-style approach empowers clients to make smarter decisions through investigative analytics, predictive modelling, segmentation, and advanced BI solutions. Core expertise includes Business Intelligence, CRM & Engagement, and Advanced Analytics. The Role They’re looking for a data professional with experience in … building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and a growing focus on geolocation and geospatial analytics. The role involves developing end-to-end solutions using SQL and Python, with outputs often delivered through Power BI. You … strategies that go beyond customer data to include location-based intelligence. Skills & Experience Strong SQL, Python and Power BI experience Evidence of delivering actionable insight Experience building and deploying predictive models Background in retail or consultancy would be ideal Knowledge of geolocation/geospatial analytics is a big plus How to Apply If this sounds like the role for More ❯

that directly drive campaign performance, customer engagement, and revenue growth for some of the world's biggest brands. What You’ll Be Doing: Build & Optimise Models: Design and implement predictive models including causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems. Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on … experience, this may include upskilling those around you. Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy. Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency’s capabilities. Client-Facing Influence: Present technical concepts clearly to both technical and non-technical … A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to-Haves: Familiarity with marketing-specific measurement models such as Media Mix Modelling (MMM). Knowledge of model versioning (e.g. MLFlow), API frameworks (FastAPI), or building dashboards (e.g. Dash or Streamlit). The Opportunity: You’ll work across multiple industries and household More ❯

that directly drive campaign performance, customer engagement, and revenue growth for some of the world's biggest brands. What You’ll Be Doing: Build & Optimise Models: Design and implement predictive models including causal AI campaign modelling, forecasting engines, pricing elasticity models, and recommender systems. Lead Projects & People: Guide a team of data scientists across multiple projects. Depending on … experience, this may include upskilling those around you. Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy. Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase the agency’s capabilities. Client-Facing Influence: Present technical concepts clearly to both technical and non-technical … A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to-Haves: Familiarity with marketing-specific measurement models such as Media Mix Modelling (MMM). Knowledge of model versioning (e.g. MLFlow), API frameworks (FastAPI), or building dashboards (e.g. Dash or Streamlit). The Opportunity: You’ll work across multiple industries and household More ❯

pay range Direct message the job poster from Harnham Recruitment Consultant in the UK - Marketing & Analytics Contract Team - The Talent Driving the Data & AI Revolution Contract Opportunity: Data Scientist - Predictive Modelling & Feasibility Engine London Hybrid - 1 day/week onsite (flexible) 6-month contract | Start: ASAP We're partnering with a global organisation on a high-impact project … to enhance their core feasibility engine—the backbone of their predictive delivery planning systems. They're looking for a hands-on, production-minded Data Scientist who thrives in a fast-paced environment. You'll be refining predictive models, improving algorithmic performance, and delivering high-quality code using Python (with Pandas) and SQL. What You'll Be Doing: Optimising … predictive models used in delivery planning and operational feasibility Writing clean, efficient, production-ready code in Python and SQL Collaborating with product and data teams to drive actionable insights Enhancing and scaling algorithms that power key business decisions What You'll Need: Expert-level Python, especially strong with the Pandas library Solid experience with SQL and working with large More ❯

environments into Azure Cloud Maintain and synchronize Dev, Test, and Production environments using DevOps principles Drive improvements in data quality, access controls, and security compliance Support analytics, BI, and predictive modelling teams with infrastructure and documentation Monitor and troubleshoot production issues, implementing preventative solutions Mentor a junior data engineer and serve as a technical lead for data tooling … SQL-based production environments (DBA/Data Engineering) Strong SQL/T-SQL skills for dynamic data warehouse processes Expertise in Azure, SSIS, and Databricks Solid understanding of data modelling, integration, and transformation Experience managing CI/CD pipelines and DevOps workflows Strong communication skills and a problem-solving mindset Desirable Skills Experience working with large, multi-source datasets … Offer? A key leadership opportunity within a growing data function The chance to shape long-term cloud and data infrastructure strategy Projects spanning data engineering, BI, and AI/predictive analytics Exposure to international operations and collaborative cross-functional teams Additional Information Seniority level: Mid-Senior level Employment type: Full-time Job function: Analyst Industries: Data Infrastructure and Analytics More ❯

join our Analysis team and help shape the intelligent backbone of our 3D design and GIS product ecosystem. You'll play a key role in developing machine learning models, predictive systems, and AI-driven analytics that power and enhance our data pipeline infrastructure and product intelligence. This is a hands-on role focused on applying AI techniques to both … external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial and 3D data types. Design, test, and deploy predictive models and recommendation systems into production environments. Identify and develop opportunities for AI-powered automation and decision-making tools. Contribute to the architecture of intelligent data pipelines that support … pipelines. Experience designing and evaluating LLM-powered systems such as chatbots, summarisation tools, content generation workflows, or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modelling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy More ❯

servicing. As a Data Scientist, you'll collaborate closely with cross-functional teams, including product management and engineering, to identify an integrate your findings into our operations and develop predictive models that enhance our business processes. This collaborative approach allows you to work on a variety of projects, ensuring that your contributions have a significant impact across the organisation. … trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify patterns and trends … in data, providing insights to inform business strategy and decision-making. Develop predictive models to support decisions across multiple business areas, including marketing, sales, claims, retention, customer behavior, fraud detection, and customer servicing. Deploy machine learning models into production using AWS services, including SageMaker, S3, Feature Store, ensuring scalable, reliable, and monitored solutions that directly support key business processes. More ❯

their career with a fast-growing company and influence our pricing models. As a Pricing Analyst, your key responsibilities include: Monitoring our portfolio and delivering innovative pricing solutions Using predictive analytics and commercial insight to identify trends and pricing actions Supporting product profitability by balancing volume and profitability to meet loss ratio targets The Pricing portfolio management team develops … monitoring framework Contributing to the pricing cycle, including tactical initiatives, price optimization, and analytics Collaborating with Underwriting on risk appetite, product development, and market insights Working with the Technical Modelling team on peril risk cost models and product performance dynamics Delivering the pricing roadmap aligned with company goals Key Skills and Experience: Experience in Personal Lines Pricing is advantageous … Knowledge of predictive modeling techniques (e.g., Logistic Regression, GBMs, Decision Trees, Neural Nets) Proficiency in statistical and data science languages (R, Python, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, etc.) Experience with WTW’s Radar and Emblem software is preferred Excellent communication skills, both verbal and written Behaviours: Self-motivated and eager to learn Logical thinker with a More ❯

retain Cleo’s users. What You’ll Be Doing Marketing Measurement: Building out some of and improving on Cleo’s marketing measurement toolkit, including Marketing Mix Models (MMM), attribution modelling, and incrementality testing to provide the team with clear insights into the drivers of overall and channel performance. Lifetime Value Modelling: Develop and optimise predictive models that … maximise efficiency. What you’ll need 3+ years in Data Science, with a focus on Marketing Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which make predictions in batch or More ❯

giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of Markerstudy's direct brands Support delivery of pricing & underwriting business plan across Motor & Home portfolios … Experience: Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of More ❯

and optimise these models and systems, making them a core part of how we support students globally. What are you responsible for Define the vision, strategy, and roadmap for predictive models and AI-driven engagement tools. Work with data teams to design models that predict student-program fit and likelihood of enrolment, using demographic data and behavioural activity across … AI-driven actions with real-world student needs. What you'll have 5+ years of product management experience, including at least 2 years working directly with machine learning or predictive analytics products. Strong understanding of predictive modelling, recommendation systems, and Generative AI applications. Experience operationalising machine learning products into customer-facing workflows. Proven ability to work cross More ❯

retain Cleo’s users. What You’ll Be Doing Marketing Measurement: Building out some of and improving on Cleo’s marketing measurement toolkit, including Marketing Mix Models (MMM), attribution modelling, and incrementality testing to provide the team with clear insights into the drivers of overall and channel performance. Lifetime Value Modelling: Develop and optimise predictive models that … maximise efficiency. What you’ll need 3+ years in Data Science, with a focus on Marketing Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which make predictions in batch or More ❯

level outputs. You'll transform complex data into clear, user-friendly reports that drive decision-making. Key responsibilities: You'll use your expertise in Power BI, SQL, and data modelling to produce accurate, timely, and accessible reports and dashboards Lead on high-stakes regulatory and board-level reporting. Translate business requirements into powerful, insightful data products. Guide and support … seeking a confident analyst with: Advanced Power BI skills and strong reporting tool expertise. Deep understanding of database design , SQL, views, and functions. Experience with data storytelling , forecasting , and predictive modelling . The ability to present complex data clearly to non-technical audiences. Experience collaborating across departments on projects and data strategy. A proactive mindset and a passion More ❯

or delivering full market research programmes, this company consistently delivers creative solutions to help clients solve business issues and make better-informed decisions. This company has four core specialisms: predictive models; segmentation; brand strategy; and product & service optimisation. Customer analytics will play a key role in all of these areas. The Role They are looking for an experienced, commercially … demonstrating the ability to prioritise and organise Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine learning, natural language processing, text analytics, and time-series modelling Experience of a wide variety of technologies including: R or Python, SQL Understanding and experience with cloud infrastructures such as Azure or AWS and how to integrate R or More ❯

domains. Collaborate closely with stakeholders, ensuring technical solutions are well- communicated and drive real business impact. What We're Looking For A strong foundation in data structures, algorithms, data modelling, and software architecture. Solid hands- on experience in Python and its ecosystem ( Jupyter, Pandas, Scikit- learn, Matplotlib), and comfort working with SQL for data analysis. Experience with LangChain is … based products into production environments, with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional teams through ML solution delivery. Access bespoke More ❯

analytics to digital platforms with application to the cultural sector. Previous research in this area includes a collaboration with the Van Gogh Museum, where the research team developed a predictive model of visitor trajectories from multimedia guide data (see working paper here ). The idea is to develop a dynamic choice model for cultural experiences (such as a visit … field, which may include computer science, applied mathematics, econometrics, operations research, or a related field. They must demonstrate capabilities for writing code (Python or R), basic knowledge in mathematical modelling, and prior experience using libraries in statistics, machine learning, or operations research. The position is funded by a research grant. We will offer a competitive salary depending on qualifications More ❯

positive, tangible outcomes. There is a significant opportunity to join our group of data experts, advanced analytics solutions engineering, and analytics consulting practices, where you will support descriptive and predictive modelling (including Machine Learning), as well as solving complex mathematical optimisation challenges, primarily related to Asset Investment Planning. Our projects span multiple sectors and the entire asset life More ❯

positive, tangible outcomes. There is a significant opportunity to join our group of data experts, advanced analytics solutions engineering, and analytics consulting practices, where you will support descriptive and predictive modelling (including Machine Learning), as well as solving complex mathematical optimisation challenges, principally related to Asset Investment Planning. Our projects span multiple sectors and the entire asset life More ❯

Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. Experience with MLOps Excellent organisation skills, working independently and ability to deliver results for deadlines. A proactive, innovative, pragmatic approach to problem-solving and an More ❯