151 to 175 of 288 Statistical Modelling Jobs in England

culture. What You'll Need: Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving More ❯

leading enterprise data science teams in complex or product-led environments. A track record of delivering GenAI solutions using LLMs, prompt engineering, and RAG architectures. Deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, and modern data science More ❯

Restaurant, On site Medical Centre, Parking/Easy Access to train station, Coffee Shops & Onsite Shop, Sports & Social Club and More Skills Required: Proficiency in Data Science techniques, including statistical models and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage More ❯

that can (and should!) be leveraged to create propositions that customers will rely on and love. Your day to day: As a Data Scientist you will be building predictive statistical models and machine learning models and pipelines to drive business growth. You will work with ML Engineers to ensure those are deployed in production and delivering real value. Activities More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development of More ❯

contribute to the development and maintenance of credit risk scorecards that underpin lending decisions and risk management strategies. Key Responsibilities: Develop, implement, and maintain credit risk scorecards, applying advanced statistical and machine learning techniques. Utilize Python for data extraction, feature engineering, model development, validation, and ongoing monitoring. Collaborate with risk management, analytics, and IT teams to ensure model robustness … in model governance, validation, and documentation. Communicate technical findings and model insights clearly and effectively to both technical and non-technical stakeholders. Candidate Profile: Demonstrable experience in credit risk modelling or scorecard development, preferably within the lending or financial services sectors. Advanced skills in Python programming, with experience handling large datasets and applying statistical modelling techniques. Comprehensive … offers the opportunity to work within a progressive lending organisation that values data-driven decision making. The successful candidate will play a critical role in shaping the credit risk modelling framework and have the opportunity to develop their expertise within a collaborative and supportive environment. More ❯

contribute to the development and maintenance of credit risk scorecards that underpin lending decisions and risk management strategies. Key Responsibilities: Develop, implement, and maintain credit risk scorecards, applying advanced statistical and machine learning techniques. Utilize Python for data extraction, feature engineering, model development, validation, and ongoing monitoring. Collaborate with risk management, analytics, and IT teams to ensure model robustness … in model governance, validation, and documentation. Communicate technical findings and model insights clearly and effectively to both technical and non-technical stakeholders. Candidate Profile: Demonstrable experience in credit risk modelling or scorecard development, preferably within the lending or financial services sectors. Advanced skills in Python programming, with experience handling large datasets and applying statistical modelling techniques. Comprehensive … offers the opportunity to work within a progressive lending organisation that values data-driven decision making. The successful candidate will play a critical role in shaping the credit risk modelling framework and have the opportunity to develop their expertise within a collaborative and supportive environment. More ❯

in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science. Demonstrated experience with electronic trading infrastructure, including pricing engines, execution logic, and trade lifecycle components. Advanced statistical modelling skills and experience working with large-scale financial datasets. Solid understanding of interest rate markets and fixed income product structures. Location: London, United Kingdom Job Type: Hybrid More ❯

and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement … new technologies Good understanding of Microsoft Server technologies (Azure, T-SQL, SSIS, SSRS, Power BI) Experience Strong experience of working as a Data Scientist or equivalent role, in applying statistical models and machine learning algorithms Experience and ability to respond to business needs by identifying appropriate statistical methodologies and presenting insight for decision making Attention to detail & problem More ❯

maintain customer lifetime value (CLTV) and price sensitivity models, to support informed pricing decisions and long-term business performance. Own and deliver pricing optimisation processes, including regular Efficient Frontier modelling and customer outcome simulations, to identify the optimal balance between volume, price, and contribution. Innovation and Advanced Analytics: Champion continuous improvement by introducing advanced analytics techniques, machine learning approaches … retention) influence business performance. Proactive with a bias for action and ownership: takes initiative to identify opportunities, drive meaningful improvements, and take accountability for outcomes. Hands-on experience with statistical modelling (e.g. GLMs, GBMs, clustering) applied to business problems Excellent communication and stakeholder skills, with the ability to present technical insights clearly to non-technical audiences. Strong organisational … skills, with a proactive mindset and proven ability to manage multiple priorities independently in a fast-paced environment. Nice-to-have Familiarity with pricing/modelling software: e.g. Emblem, Radar, or Earnix Experience in pricing optimisation and/or applying machine learning and operations research techniques to pricing problems Experience with cloud platforms (e.g. AWS/GCP/Azure More ❯

to grow into a leadership position and shape the future of the data function. THE ROLE: As a Data Scientist in this high-impact team, you’ll: Lead on statistical modelling across a range of quant-led market research and political insight projects. Apply and evolve a robust modelling framework using R , supporting techniques from regression and … the opportunity to build and lead your own team in the near future. YOUR SKILLS & EXPERIENCE We're looking for: Solid Data Science experience in R , especially in predictive modelling and regression/segmentation techniques. Educated to Masters or PhD level A flair for methodological creativity – someone who enjoys being playful and inventive in their approach to data. Experience More ❯

to grow into a leadership position and shape the future of the data function. THE ROLE: As a Data Scientist in this high-impact team, you’ll: Lead on statistical modelling across a range of quant-led market research and political insight projects. Apply and evolve a robust modelling framework using R , supporting techniques from regression and … the opportunity to build and lead your own team in the near future. YOUR SKILLS & EXPERIENCE We're looking for: Solid Data Science experience in R , especially in predictive modelling and regression/segmentation techniques. Educated to Masters or PhD level A flair for methodological creativity – someone who enjoys being playful and inventive in their approach to data. Experience More ❯

Primary Details Time Type: Full timeWorker Type: EmployeeServe as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling Data Scientist - Fixed term until July 2026 London/Hybrid The Opportunity: Join a high-impact pricing and data More ❯

of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and strong communication skills Bonus: experience with Python , credit scoring systems, or statistical modelling 🎯 Why Apply: Join a dynamic, fast-growing fintech with international scale Ownership of high-impact credit initiatives Great benefits, bonus, stock options, and a modern Central London More ❯

of German credit risk practices and regulation Advanced SQL skills; comfort working with large datasets Analytical mindset and strong communication skills Bonus: experience with Python , credit scoring systems, or statistical modelling 🎯 Why Apply: Join a dynamic, fast-growing fintech with international scale Ownership of high-impact credit initiatives Great benefits, bonus, stock options, and a modern Central London More ❯

2+ years of experience as a quantitative researcher or data scientist. • Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. • Strong statistical and modeling skills. • Strong communication and collaboration skills. • Experience in the energy industry is a plus. Competitive salary and a stock options sign-on bonus Biannual bonus scheme Fully More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and technologies. Self-awareness, an open mind More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

large datasets from various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation … technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via APIs More ❯

s strategy. We are looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science … to work closely with business stakeholders, data engineers, marketing analysts and BI analysts to improve our existing models, create new models, and bring our expertise. Core Responsibilities Apply advanced statistical techniques and ML/AI models to development and production environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions … Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered code Proven experience working with ML engineers and production systems (including Cloud platforms) Proven ability to More ❯

Primary Details Time Type: Full time Worker Type: Employee Serve as modelling and data science partner for assigned business areas responsible for the scientific integrity of work products, including study design, research methodology, and deployment of statistical approaches and modelling Data Scientist - Fixed term until July 2026 London/Hybrid The Opportunity: Join a high-impact pricing More ❯

through trial and iteration. Youll bring a deep understanding of modern data science and machine learning techniques and know when to apply the right tools, whether thats deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL, and you're comfortable working in a cloud-first (AWS) ecosystem. Experience with object-oriented programming and packaging More ❯