1 to 25 of 303 Statistical Modelling Jobs in England

analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning, statistical modelling, and causal inference. This position is for a client-facing, project lead level role for someone who has deployed solutions that utilize … solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, deep learning, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Decision Scientist, you will be expected to work independently on client engagements, run … successful project delivery Write production-ready code in SQL, Python, and Spark following software engineering best practices Coach team members in machine learning and statistical modelling techniques Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced More ❯

extract actionable insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years … real world problems, preferably in a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression analysis More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of … Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential More ❯

/MMM capability across brands and markets ✅ Build and refine incremental testing tools for marketing measurement ✅ Mentor and develop analysts in MMM techniques and statistical modelling ✅ Work closely with Data, Martech, and Marketing teams to automate and scale data-driven insights ✅ Present findings across all levels—including C … agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statistical modelling for marketing analytics ✔ Ability to translate complex data into actionable business insights ✔ Passion for sports, marketing, and technology 🎯 What’s in It More ❯

/MMM capability across brands and markets ✅ Build and refine incremental testing tools for marketing measurement ✅ Mentor and develop analysts in MMM techniques and statistical modelling ✅ Work closely with Data, Martech, and Marketing teams to automate and scale data-driven insights ✅ Present findings across all levels—including C … agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statistical modelling for marketing analytics ✔ Ability to translate complex data into actionable business insights ✔ Passion for sports, marketing, and technology 🎯 What’s in It More ❯

data to build predictive models, extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders … Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting … languages such as Python and SQL. (A technical task will form part of the interview process.) Already be a credible expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders More ❯

Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯

Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯

Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯

Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯

Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint areas of work to rapidly drive results in a dynamic working environment. The salary We expect to pay from More ❯

this role, you play a pivotal role in shaping and refining credit risk strategies across customer acquisition and account management. Leveraging advanced data analytics, statistical modelling and industry best practices, you will drive smarter credit risk decisioning, enhance portfolio performance and support sustainable business growth while ensuring regulatory … data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning through advanced analytics and statistical techniques, ensuring lending strategies are within the agreed risk appetite. Perform regular portfolio performance reviews and health checks, identifying emerging trends and key risk More ❯

data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team More ❯

data visualisation tools (eg, Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modelling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (eg, POS, CRM, supply chain More ❯

a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve More ❯

and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Converting data into practical insights. More ❯

in Computer Science, Engineering, Statistics, Mathematics or related field - Extensive experience in a data engineer or BIE role with a technology company. - Experience with statistical modelling/machine learning. - Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) - High attention to detail and proven More ❯

time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. What You'll Do: Develop and implement time series forecasting models More ❯

data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). More ❯

translate them into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature engineering More ❯

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation data sets is desirable. Very good data More ❯

a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve More ❯

and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation data sets is desirable. Very good data More ❯