151 to 175 of 322 Statistical Modelling Jobs in the UK

a Data Scientist in the CLtV team will involve growing and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and … predictions. Collaborate with Data Scientists and Analysts in other teams to ensure that our model predictions are appropriately utilised and interdependencies are accounted for. Model-driven insights: Utilise our modelling and analytics tools (and introduce new ones where appropriate) to uncover insights, such as customer behaviour patterns or the efficacy of new modelling techniques. Effectively communicate these insights … your solutions are pragmatically solving the business problem at hand and to get technical feedback for personal growth. 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 More ❯

through others. Experienced in using 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 £80,000 to £90,000 for this role, But, we're open-minded, so definitely More ❯

through others. Experienced in using 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 £80,000 to £90,000 for this role, but we're open-minded, so definitely More ❯

through others. Experienced in using 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 £80,000 to £90,000 for this role, but we're open-minded, so definitely More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role More ❯

Excel, Power BI and AWS data insight tooling. Ability to utilize programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work More ❯

of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. … stakeholders and articulate data science concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying ML models to production at More ❯

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 ❯

. Write clean, reliable, and 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 with stakeholders, 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 analysis. Experience with LangChain is a plus. Experience of delivering AI and ML … products into production environments, with 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 delivery. Access bespoke development programmes More ❯

understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice … control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Exceptional written communications skills and effective presentation skills Willingness to learn 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 ❯

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 ❯

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 ❯

ability to manage multiple deadlines Sound organisation and facilitation skills Experience of Power BI/Tableau is essential Good understanding of Alteryx Ideally you will also have: Understanding of statistical modelling techniques Experience in SQL Exposure to AWS and/or Azure platform and core services We are committed to creating a diverse environment and are proud to More ❯

you've worked in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading industry, working hand-in-hand with More ❯

success. Utilise digital data for informed decision-making throughout projects. Your Skills and Experience: Ability to interpret complex datasets and present insights using Power BI and Excel. Understanding of statistical models to forecast trends and optimize performance. Experience with BI platforms for reporting and dashboard creation. Skills in planning and performance management. Process optimization to identify inefficiencies and recommend … fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics, automation, and statistical modelling. Business intelligence tools for reporting and dashboard creation. Why Join Us: Repsol values diversity and believes in equal opportunities. You'll grow with us in a role where More ❯

as stock, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm. … across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes. Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data. Drive our market making platform development using a range of technologies, and collaborate closely with Quant More ❯

as stock, options, ETFs and futures, with strategies including market making, automatic quoting, central risk books, systematic trading and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm. … across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant More ❯

Quantitative Analyst required by highly technical sports trading firm based in central London. The company have been established for more than 10 years, successfully developing statistical models for in-house services and identifying opportunities for investment. The successful Quantitative Analyst will work within a well established Quant team analysing very large data sets. Due to the nature of the More ❯

Quantitative Analyst required by highly technical sports trading firm based in central London. The company have been established for more than 10 years, successfully developing statistical models for in-house services and identifying opportunities for investment. The successful Quantitative Analyst will work within a well established Quant team analysing very large data sets. Due to the nature of the More ❯

business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications 2+ years of experience leading a team More ❯

new data solutions, scale existing data applications, and bend Strider's data strategies to accomplish many goals within a growing startup. We're looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch. What you will do: Dig into messy, unstructured data every day to answer More ❯

Econometric Modelling Lead (Marketing Mix Modelling) 📍 London (Hybrid) | 🧠 Data Science & Analytics | 🎯 Permanent, Full-Time £45,000-£55,000 Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician . We're seeking a talented individual with at least 2 years of hands-on … experience in marketing mix modelling who’s ready to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement. This is a rare opportunity to be part of a collaborative and data-driven environment where you’ll work alongside talented analysts, data scientists, and engineers across a global network. 🔑 What You'll Do … of MMM projects from briefing to presentation, ensuring actionable insights. Confidently present complex analysis to clients and internal stakeholders. Use your coding knowledge to streamline processes and develop new modelling solutions. Manage stakeholder relationships and act as the primary point of contact for key clients. Collaborate with internal Centres of Excellence to deliver best-in-class econometrics. Play a More ❯

Econometric Modelling Lead (Marketing Mix Modelling) 📍 London (Hybrid) | 🧠 Data Science & Analytics | 🎯 Permanent, Full-Time £45,000-£55,000 Are you ready to take the lead in cutting-edge marketing measurement? Join a highly respected and award-winning analytics team as a Lead Econometrician . We're seeking a talented individual with at least 2 years of hands-on … experience in marketing mix modelling who’s ready to step into a leadership role—owning client relationships, leading delivery, and pushing innovation in media measurement. This is a rare opportunity to be part of a collaborative and data-driven environment where you’ll work alongside talented analysts, data scientists, and engineers across a global network. 🔑 What You'll Do … of MMM projects from briefing to presentation, ensuring actionable insights. Confidently present complex analysis to clients and internal stakeholders. Use your coding knowledge to streamline processes and develop new modelling solutions. Manage stakeholder relationships and act as the primary point of contact for key clients. Collaborate with internal Centres of Excellence to deliver best-in-class econometrics. Play a More ❯

our people to make an impact and develop their own unique career path. This is an opportunity to take a leading role in expanding RSM's capabilities in quantitative modelling solutions and being a part of our broader financial modelling and analytics community. You will lead the development of this capability, directing and training staff, with responsibility for … engagements that deliver sophisticated statistical models and tools for clients across various sectors, often within a dynamic regulatory landscape. Additionally, you will oversee crucial support to RSM's Audit business by reviewing and challenging financial models, particularly in areas such as expected credit loss (ECL) modelling and broader Financial Services matters. Working closely with the Partners, you will … analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS More ❯