22 of 22 Statistical Modelling Jobs in West Yorkshire

health conditions and infectious diseases. Work across directorates and with external stakeholders to identify and develop opportunities for product automation and reproducible analyses (includes the automation of epidemiological and statistical models). A background of working with clinical or epidemiological data would be advantageous. All Hazards Intelligence-Global - An all-source intelligence assessment team accredited by the Professional Head … address complex problems and to inform strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight Essential Criteria A first or second-class honours degree … in a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques More ❯

analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with … data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent More ❯

analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with … data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent More ❯

AI/ML methods, processes 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 Analysing and investigating data quality More ❯

and communities first-hand. Key Responsibilities: Working to a Senior Data Scientist, take an active role in research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Take an active role in developing and implementing data science solutions for the Agency Network. This will include the development of AI solutions for the analysis of More ❯

oriented professional with expertise in 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 to predict demand, sales, and More ❯

Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence More ❯

a weekly basis; communication skills are paramount for this role. You need not be an expert in every flavour of predictive analytics but must be able to demonstrate the statistical knowledge necessary to explain and implement common models/algorithms. The data science team works primarily by writing code, so yours should be good enough to lift our overall … wider Data Solutions team. Developing algorithms, and then maintaining, implementing, monitoring and versioning them on the appropriate platforms. With the data engineering team, optimally prepare data for analysis, including modelling, transforming, manipulating, cleansing and managing. Working collaboratively with the BI analysts and data engineers, you will integrate the data into the data exploration and analysis tools used within the … company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machine learning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information to our clients and internal More ❯

Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data More ❯

data science methods for measuring the quality of health and social care services, learning from best practice (/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

monitoring progress in stand-ups, and reporting progress to the Data Science Management team. With your pod of Data Scientists, you’ll execute the application of machine learning and statistical modelling tools suited to the identified initiative. Be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how the business … the projects you’ll ensure you understand and are adhering to the appropriate regulatory and internal policy requirements. What You’ll Have You’ll be highly numerate with a statistical background, and strong expertise in Python being desirable. You’ll have strong SQL skills, with exposure to Snowflake desirable, and the ability to create clear data visualisations in tools More ❯

Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll use machine learning and statistical modelling tools to generate customer, marketing, and commercial insights, which in turn will inform marketing strategy, pricing & product development for the business. You'll identify efficiencies in the … and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and deploying predictive models using More ❯

monitoring progress in stand-ups, and reporting progress to the Data Science Management team. With your pod of Data Scientists, you’ll execute the application of machine learning and statistical modelling tools suited to the identified initiative. Be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how the business … the projects you’ll ensure you understand and are adhering to the appropriate regulatory and internal policy requirements. What You’ll Have You’ll be highly numerate with a statistical background, and strong expertise in Python being desirable. You’ll have strong SQL skills, with exposure to Snowflake desirable, and the ability to create clear data visualisations in tools More ❯

and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The function iwoca's Data Scientists specialise in Supervised Machine Learning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets. The … with Data Scientists across iwoca, sharing expertise with a peer group to deepen your knowledge and apply it to iwocaPay. Additionally, you’ll design and analyse tests and build statistical models to help us reach a broader range of customers. The Projects In this role, you'll tackle a few high-impact projects within your first 90 days, designed … The requirements Essential: Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields). Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R. Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS. Self-starter with ability to work autonomously and efficiently manage projects More ❯

report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist, you will execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how More ❯

be responsible for breaking down projects into measurable tasks, reporting progress, and addressing blockers. Working within a team under a Lead Data Scientist, you will apply machine learning and statistical models, and effectively communicate findings and recommendations to stakeholders. Benefits include: Hybrid working (2 days in the office per week) Colleague discounts on Jet2holidays and Jet2.com flights Discretionary profit … solutions clearly to stakeholders and advise on business value realization. Stay updated with the latest data science trends and technologies. Ensure compliance with regulatory and internal policies. Qualifications Strong statistical background with expertise in Python; ML frameworks like Scikit-learn, TensorFlow, or PyTorch are a plus. Deep understanding of data analytics tools and techniques; strong SQL skills; experience with More ❯

monitoring progress in stand-ups, and reporting progress to the Data Science Management team. With your pod of Data Scientists, you’ll execute the application of machine learning and statistical modelling tools suited to the identified initiative. Be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how the business … the projects you’ll ensure you understand and are adhering to the appropriate regulatory and internal policy requirements. What you’ll have: You’ll be highly numerate with a statistical background, and strong expertise in Python being desirable. You’ll have strong SQL skills, with exposure to Snowflake desirable, and the ability to create clear data visualisations in tools More ❯

report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist, you’ll execute the application of machine learning and statistical modelling tools suited to the identified initiative. Be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how the business … ll ensure you have an awareness of and are adhering to the appropriate regulatory and internal policy requirements. What you’ll have: You’ll be highly numerate with a statistical background , with strong expertise in Python being desirable. You’ll have strong SQL skills, with exposure to Snowflake desirable, and the ability to create clear data visualisations in tools More ❯

apprenticeship will take around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking More ❯

apprenticeship will take around 18 months to complete and will cover key areas such as: Analytics lifecycles Data democratisation SQL data extraction Advanced data joins Advanced visualisation of data Statistical programming languages Predictive modelling and forecasting Statistics in analysis Creating and delivering a great data product Key Details Vacancy Title Data Analyst Apprentice Employer Description At Lloyds Banking More ❯

Server 2012 (70-461) - with a view to completion of the MCSA: SQL Server 2012/2014 programme Any experience (including non-professional) of data visualisation/analysis/statistical modelling/SQL 2016 Any experience (including non-professional) of virtualisation, disaster recovery, backups etc Additional Requirements Must be willing to travel occasionally (UK only) Must be flexible More ❯

I am working with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager , you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable … business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or … R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale Ability to oversee pricing model development and maintenance while evaluating the profitability and market positioning of new and existing product propositions Proven experience working More ❯