51 to 75 of 289 Statistical Modelling Jobs in England

or virology Master’s degree or equivalent experience in bioinformatics/computational biology Proficiency in Python and/or R for biological data analysis, statistical modelling, and data visualisation Communication of complex information to both technical and non-specialist audiences Enthusiastic attitude and eagerness to learn and implement More ❯

author in research publications in peer-reviewed conferences or journals. Experience designing and leading complex research projects from ideation to implementation. Deep understanding of statistical modeling, optimization, and algorithm development. Excellent communication skills, with the ability to convey complex technical information to diverse audiences. Our inclusive culture empowers Amazonians More ❯

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

technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building Advanced in SQL ability to write complex queries … from scratch from multiple tables Fluency with Python (or R) - ability to run advanced statistical modelling PREFERRED QUALIFICATIONS Consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side) Experience with advertising publishers and marketing/creative agencies MBA, Master's More ❯

skills cover a range of languages, including Java, C#, C++, Python, and R. Day-to-day work will involve working with our teams of statistical researchers and product owners to create, maintain, and optimise mainly R and C++ code that runs as part of our mathematical models. You will … sport, as a company we're passionate about social responsibility, sustainability, and employee well-being. About us We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical More ❯

and working with operational datasets; quick to adapt to technical challenges. Proficient in Excel, Power Query, SQL, and Power BI; experience with Python and statistical modelling is advantageous. Skilled in learning new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. Confident More ❯

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

causes. Scale findings to assess impact and prioritize actions. Conduct data-driven experiments to foster innovation. Perform large-scale analysis with new metrics or statistical models. BASIC QUALIFICATIONS Experience with data visualization tools such as Tableau, Quicksight, or similar. Experience with SQL. Experience in the data/BI space. More ❯

establishing robust governance frameworks, and embedding scalable AI and analytics solutions. Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries. Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

play a critical role in developing, enhancing, and maintaining market models that drive competitive positioning and profitability. This role requires a deep understanding of statistical modeling, machine learning, and market dynamics to build models that anticipate competitor pricing strategies and inform data-driven decision-making. As a Senior Data … enhance market models to improve competitive positioning. Analyze external market trends and competitor behaviours to build predictive models that inform pricing strategy. Apply advanced statistical and machine learning techniques, including generalized linear models (GLMs), gradient boosting, and deep learning, to extract insights from large, complex datasets. Work with data … performance and conduct regular validation to ensure accuracy, robustness, and compliance with regulatory requirements. Lead innovation initiatives, including testing new data sources and advanced modelling techniques. Mentor junior data scientists and analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling More ❯

Location: London, UK Description The successful candidate will join a team which develops betting solutions. These betting solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; and performance analysis through back-testing and … or a similar programming language is essential. Key Responsibilities Acquire data from multiple data sources, filtering, cleaning and wrapping. Interpret data, analyse results using statistical techniques, and provide reports. Identify, analyse, and interpret trends or patterns in complex data sets. Work within the team to prioritise business and information … needs. Identify process improvement opportunities. Design, build, test and deliver data processing and automation software. Skills, Knowledge and Expertise Statistical modelling and skills in data analytics. Strong attention to detail and ability to retain information. Adept using analytical programming languages such as R, Python, C++, etc. BSc in More ❯

Java, or similar languages. You have hands-on experience processing with large tick datasets and research at scale. You demonstrate in-depth knowledge of statistical modelling and inference, machine learning, and optimization techniques. You have proven experience in quantitative trading with a demonstrable track record. You have excellent More ❯

We’re Looking For 3–4+ years' experience in data analysis, preferably with exposure to health or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python More ❯

passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems What you can expect from us: We won't just meet your expectations. More ❯

Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact. Logical thinking and problem solving Statistical Modelling and experience of applying data science into client problems What you can expect from us We won't just meet your expectations. More ❯

years in data science or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. More ❯

continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from its source right through to modelling and then implementation in rating Analysing data, interpreting output and … communicating results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Supporting the business in the deployment of its data solution Assisting in coaching and … t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯

standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯

Responsibilities: Experience in one or some of - statistical modelling, machine learning, AI, data science, forecasting, optimization. Programming skills/concepts and the ability to pick up new technology with ease. Prior experience in R, Python and/or other statistical tools/languages are a plus. Familiarity … intermediate level knowledge of SQL are a big bonus as you’ll be working with different datasets. Sound understanding of a wide range of statistical techniques. The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from More ❯

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 More ❯

teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements 1-2 years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able More ❯