1 to 25 of 40 Permanent Statistical Modelling Jobs in the North of England

the power of data to 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 ❯

deploy models that relate to App and Web user behaviour, customer profiles and more to improve healthcare service delivery through digital means Conduct advanced statistical analyses, including hypothesis testing and predictive modelling Question and improve open current models and data definitions based on insights and findings Collaborate with … experience with languages like SQL, Python Substantial experience with python libraries such as NumPy, Pandas, SciPy, scikit-learn Applied knowledge of machine learning/statistical modelling techniques Experience in using a tag management system like TealiumIQ Knowledge of software development life cycle processes and tools Familiar with product 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 ❯

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 ❯

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 ❯

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 ❯

AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has More ❯

and efficiently Effective communication skills across all levels Global business understanding High attention to detail and accuracy Strong organizational and multitasking skills Experience with statistical modeling, ML, forecasting Knowledge of web frameworks like Streamlit or Genie Amazon values an inclusive culture and offers accommodations for applicants with disabilities. For More ❯

strategic decisions, and foster innovation. Accountabilities Data collection, cleaning, and transformation from various sources. Development and maintenance of data pipelines. Design and deployment of statistical and machine learning models. Collaborate with stakeholders to enhance data value. Vice President Expectations Strategic planning, resource management, and policy development. Leadership responsibilities, including More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

pools, and blockchain-based trading environments. Strong programming skills in Python and/or C++ and data analytics (SQL, R). Advanced quantitative and statistical modelling abilities, with a solid grasp of financial mathematics and risk management. Operational leadership experience, ideally in building or scaling trading teams or More ❯

to drive data-led decisions across marketing, product, and customer success. Design and execute A/B tests to evaluate new initiatives and use statistical analysis and predictive models to forecast trends and identify growth opportunities. Skills & Experience Experienced Customer Insight or Marketing Analytics Specialist with a passion for More ❯

candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role … develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable … data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based More ❯

of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern More ❯

There will also be an integration between different software so knowledge and experience of software development tools is a plus. Required Experience Web Scraping Statistical Modelling - Regression, time series, clustering Pandas, Kubernetes, TensorFlow, Docker Python & SQL Desired Skills and Experience Python, SQL, Pandas, Kubernetes, Web Scraping, Statistics More ❯

take the lead on a variety of projects aimed at optimising revenue, shaping pricing strategies, and conducting competitor analysis. SKILLS AND EXPERIENCE SQL Python Statistical Modelling - Regression, propensity etc A/B testing APPLY Send an email to riversteytler@harnham.com register your interest More ❯

independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. … Work with various datasets, utilizing tools like R, Python, SQL, and statistical software to derive actionable insights. Contribute to data visualization efforts and support decision-making by translating data into business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to … Python, or similar tools being a plus. Familiarity with relational databases and intermediate-level SQL knowledge. A solid understanding of a broad range of statistical techniques and data analysis methods. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Personal attributes More ❯

be part of a team that will help guide the largest-ever investment in our critical national infrastructure in a generation. Company Overview Business Modelling Applications (BMA) is a leading UK-based technology company . Our Decision Intelligence software platform, Decisio™ , helps infrastructure clients to make more holistic, rapid … will play a pivotal role in advancing our Decisio™ Cloud for Water (C4W) platform. Your primary focus will be on leveraging your expertise in modelling of wastewater and bioresources processes, such as anaerobic digestion of sewage sludge to produce renewable energy. You will use your data science skills, to … the water & energy utility sectors. · The role will be primarily supporting the development of the underlying solution. Understanding business requirements and translating them into modelling solutions, then making use of available technologies to build and validate solution behaviour. · You will be expected to learn the core technologies used by More ❯

be part of a team that will help guide the largest-ever investment in our critical national infrastructure in a generation. Company Overview Business Modelling Applications (BMA) is a leading UK-based technology company . Our Decision Intelligence software platform, Decisio™ , helps infrastructure clients to make more holistic, rapid … will play a pivotal role in advancing our Decisio™ Cloud for Water (C4W) platform. Your primary focus will be on leveraging your expertise in modelling of wastewater and bioresources processes, such as anaerobic digestion of sewage sludge to produce renewable energy. You will use your data science skills, to … the water & energy utility sectors. · The role will be primarily supporting the development of the underlying solution. Understanding business requirements and translating them into modelling solutions, then making use of available technologies to build and validate solution behaviour. · You will be expected to learn the core technologies used by More ❯

Proactive, adaptable, and results-focused; committed to data quality and able to perform in fast-paced environments. Analytical: Strong analytical skills with expertise in statistical analysis, predictive modelling, and interpreting complex data to deliver actionable insights. Communication: Clear and confident communicator with the ability to explain technical concepts … to non-technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. More ❯

fault- tolerant code using Python and SQL, and champion best practices like code reviews, pair programming, and knowledge- sharing sessions. Apply robust ML and statistical techniques ( from classical models like Random Forest to state- of- the- art NLP and LLMs) to solve complex problems across multiple domains. Collaborate closely … 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 … 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 More ❯

decisions. Supporting the application of the latest technologies and techniques including machine learning to help improve the business understanding of available data. Delivery of statistical, data modelling and research analysis to support the delivery of tasks and projects through insights. Communication of analytical findings to senior stakeholders to More ❯