26 to 50 of 56 Remote Statistical Modelling Jobs

and innovation. Key Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and … contribute to building a data-driven culture across the organisation. Skills Required: 5+ years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability More ❯

and innovation. Key Responsibilities: Report directly to the Chief Technology Officer and collaborate with product, sales, and strategy teams. Develop and test hypotheses to solve critical business challenges. Apply statistical modelling and machine learning to predict trends, improve user experience, and drive operational efficiency. Translate complex analyses into clear, actionable insights for non-technical stakeholders. Build dashboards and … contribute to building a data-driven culture across the organisation. Skills Required: 5+ years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability More ❯

Qlik, Tableau, Business Objects, Cognos etc.) Desirable Skills: Hands-on experience with Qlik Sense or Qlik View SQL proficiency and understanding of database design Experience with marketing campaign evaluation, statistical modelling, or operational research What’s on Offer Up to 31 days holiday including flexible Bank Holidays, plus loyalty days with service Private medical cover, health cash plan More ❯

Qlik, Tableau, Business Objects, Cognos etc.) Desirable Skills: Hands-on experience with Qlik Sense or Qlik View SQL proficiency and understanding of database design Experience with marketing campaign evaluation, statistical modelling, or operational research What’s on Offer Up to 31 days holiday including flexible Bank Holidays, plus loyalty days with service Private medical cover, health cash plan More ❯

and interpretation of survey insights. optimise customer feedback survey design for maximum engagement and actionable insights. Knowledge, Experience, and Skills Required: Proven analytical capabilities with a strong background in statistical modelling and stakeholder analysis, preferably in marketing or sales. Proficient in programming languages such as Python or SQL and experienced with CRM systems and Excel. Familiarity with data More ❯

engineering, model training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization efforts More ❯

and optimize SQL queries for data extraction, manipulation, and analysis. Collaborate with cross-functional teams (business, product, operations, and technology) to define data needs and deliver actionable insights. Apply statistical techniques and data modeling to evaluate business performance and forecast future outcomes. Ensure accuracy, integrity, and security of datasets by implementing proper data governance practices. Present clear, concise, and … field. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication and presentation More ❯

the PropTech industry, understanding of UK planning system, land registry & OS datasets Data visualisation & manipulation skills with a flexible approach to tooling Extensive experience with SQL NICE TO HAVE Statistical modelling, machine learning and predictive analysis experience Python or basic coding Strategic thinking around data product development and customer value creation OUR BENEFITS INCLUDE Remote-first Working Flexible More ❯

that support the UK's journey to net zero: Software Engineering: Design, build, and deploy scalable applications using modern frameworks and agile methodologies. Data Science & AI: Apply machine learning, statistical modelling, and AI techniques to solve real-world problems and drive smarter decisions. Data Engineering: Architect robust data pipelines and infrastructure to support analytics and AI at scale. 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 ❯

The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to More ❯

production Strong Python and SQL skills, with a solid understanding of data wrangling, feature engineering and model evaluation Deep understanding of the data science process-comfortable with exploratory analysis, statistical testing, and model comparison techniques Experience with structured prediction problems (e.g. regression, classification, ranking) using real-world, often messy data Familiarity with advertising systems (Google Shopping, PMAX, etc.) and More ❯

take on some tough challenges. Primary Responsibilities: Learn data systems, sources, methodologies, logic, parameters, load times, lag considerations, data limitations, governance guidelines and any other data-related topics Use statistical and data science approaches to deliver timely and accurate insights and reporting Enhance efficiency and accuracy of data analytics and reporting Develop and share best practices in reporting and … data analytics Collaborate and cross train team members as needed Provide recommended enhancements to processes and systems in place Use statistical and data science approaches to deliver timely and accurate insights and reporting Identify and develop high-impact insights and data models Lead data analysis and data quality assurance in collaboration with tool enablement team Work on complex projects … as well as provide development for other roles you may be interested in. Required Qualifications: Masters' degree in data science, Biostatistics or related field 4+ years of experience in statistical modeling, data analysis, and predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages More ❯

take on some tough challenges. Primary Responsibilities: Learn data systems, sources, methodologies, logic, parameters, load times, lag considerations, data limitations, governance guidelines and any other data-related topics Use statistical and data science approaches to deliver timely and accurate insights and reporting Enhance efficiency and accuracy of data analytics and reporting Develop and share best practices in reporting and … data analytics Collaborate and cross train team members as needed Provide recommended enhancements to processes and systems in place Use statistical and data science approaches to deliver timely and accurate insights and reporting Identify and develop high-impact insights and data models Lead data analysis and data quality assurance in collaboration with tool enablement team Work on complex projects … as well as provide development for other roles you may be interested in. Required Qualifications: Masters' degree in data science, Biostatistics or related field 4+ years of experience in statistical modeling, data analysis, and predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages More ❯

take on some tough challenges. Primary Responsibilities: Learn data systems, sources, methodologies, logic, parameters, load times, lag considerations, data limitations, governance guidelines and any other data-related topics Use statistical and data science approaches to deliver timely and accurate insights and reporting Enhance efficiency and accuracy of data analytics and reporting Develop and share best practices in reporting and … data analytics Collaborate and cross train team members as needed Provide recommended enhancements to processes and systems in place Use statistical and data science approaches to deliver timely and accurate insights and reporting Identify and develop high-impact insights and data models Lead data analysis and data quality assurance in collaboration with tool enablement team Work on complex projects … as well as provide development for other roles you may be interested in. Required Qualifications: Masters' degree in data science, Biostatistics or related field 4+ years of experience in statistical modeling, data analysis, and predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages More ❯

take on some tough challenges. Primary Responsibilities: Learn data systems, sources, methodologies, logic, parameters, load times, lag considerations, data limitations, governance guidelines and any other data-related topics Use statistical and data science approaches to deliver timely and accurate insights and reporting Enhance efficiency and accuracy of data analytics and reporting Develop and share best practices in reporting and … data analytics Collaborate and cross train team members as needed Provide recommended enhancements to processes and systems in place Use statistical and data science approaches to deliver timely and accurate insights and reporting Identify and develop high-impact insights and data models Lead data analysis and data quality assurance in collaboration with tool enablement team Work on complex projects … as well as provide development for other roles you may be interested in. Required Qualifications: Masters' degree in data science, Biostatistics or related field 4+ years of experience in statistical modeling, data analysis, and predictive analytics Proven ability to work with large datasets across disparate relational databases and familiarity with various database technologies Proficient in statistical programming languages More ❯

you bring: Experience as a Product Lead (or similar), delivering complex, data-driven projects. Background in building physics, simulation, or analysis tools within the built environment. Strong understanding of statistical models, algorithms, and machine learning. Curiosity to research and validate new ideas and emerging technologies. A collaborative, open-minded approach and the ability to support others. Desirable: Agile product More ❯

exploit advanced AI infrastructure. What we’re looking for Experience leading or mentoring technical specialists. Hands-on background in AI methods such as NLP, machine learning, deep learning, and statistical modelling (large language model experience a bonus). Proficiency in software engineering , with a strong grasp of algorithms and data structures. Excellent communication skills, comfortable engaging both technical More ❯

grade pricing and risk models effectively, safely, and consistently. What you'll do Explore & analyse large telematics, policy and quote datasets to uncover trends and opportunities Build and validate statistical & machine learning models that power pricing and risk selection Collaborate with Engineering, Actuarial and Product to frame business problems and productionise models Communicate insights clearly through dashboards, visualisations and … skills, with experience in training predictive models. Familiarity with data science libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib … to have (but not essential) Experience with CI/CD pipelines (we use buildkite and argoCD) Hands-on experience with insurance pricing tools like Akur8, Emblem or similar pricing modelling tools Exposure to telematics or usage-based insurance data Experience with time series analysis and/or graph technologies What's it like to work at Zego? Joining Zego More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing … and BI principles Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing … and BI principles Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing … and BI principles Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy environment. Data modelling experience More ❯

information into smart business moves. If you enjoy analyzing data, building predictive models, and turning insights into decisions - read on! Aufgaben Writing code to clean, transform & analyze data Developing statistical models & predictive analytics solutions Creating dashboards to visualize insights Designing & optimizing data models Integrating and transforming data from sources like SQL, Excel & APIs Collaborating with business teams to deliver … data refreshes & reporting workflows Supporting & training end users Profil Strong programming skills (experience with Power BI/Power Platform is a plus but not required) Experience in data analysis & statistical modeling Solid understanding of data integration & modeling concepts Analytical mindset, proactive attitude & strong team skills Excellent English skills , German is an advantage Wir bieten Flexible working hours and remote More ❯

with data engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms … advanced analytics, ideally in a technical leadership role Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding of MLOps principles and integrating More ❯