26 to 50 of 290 Statistical Modelling Jobs in England

a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve More ❯

and coordinate larger initiatives. Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Experience with Aviation data sets is desirable. Very good data More ❯

and translate them into structured data problems. Explore and analyze complex data sets (structured and unstructured). Prototype models of varying complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Cloud platforms). Design and implement machine learning models, develop metrics, and apply feature engineering More ❯

bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees More ❯

Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you're passionate about leveraging data to create meaningful More ❯

Looker. A proactive approach to problem-solving, with a bias toward action in high-energy, fast-paced environments. Experience in A/B testing, statistical modeling, and forecasting, with a demonstrated ability to translate complex findings into practical solutions. If you're passionate about leveraging data to create meaningful More ❯

our data in order to bolster our scientific rigour. You will sit between both teams and should be confident working with different types of statistical analysis, process-based modelling, and sampling/stratification. Equally, you should have a good understanding of statistical modelling and bring a … or appropriate science/engineering field; 3+ years of experience working in a relevant field, with experience in some or all of the following: Statistical and data-sampling techniques such as regression, imputation, random forest, Monte Carlo, stratification, and/or clustering; Working with temporal and spatial data; Experience More ❯

This role sits within the Marketing Effectiveness team at Medialab, helping clients understand the true value of their media investments through advanced measurement solutions, statistical modelling, and integrated insights. Reporting to the Head of Marketing Effectiveness, you will lead modelling workstreams, ensure quality control, and integrate research … supporting and mentoring team members while continuing to develop your own skills alongside industry experts. Our proprietary Apollo platform automates data collection, allowing the modelling team to focus on insight generation and strategic recommendations rather than manual data processing. HOW YOU WILL MAKE AN IMPACT Lead end-to-end … Marketing Mix Modelling (MMM) projects, from model development to insights generation and data storytelling. Act as a consultant, working with client teams to ensure measurement frameworks align with their business challenges. Serve as the key point of contact for a diverse client set, developing sector expertise. Develop client presentation More ❯

manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills 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 ❯

Economics). Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation and statistical modeling. A minimum of 5 years experience working with Futures order book market data, with strong familiarity in other financial instruments (e.g. other derivatives More ❯

Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge of data visualization tools (e.g., Power BI, Tableau, Matplotlib). • Understanding of statistical modelling, hypothesis testing, and A/B testing. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies. • Ability to translate … complex data into actionable insights for non-technical audiences. Key Responsibilities • Collect, process, and analyse large datasets to generate actionable insights. • Apply statistical methods, machine learning models, and AI techniques to solve business problems. • Develop data visualizations and dashboards to communicate findings clearly. • Collaborate with software engineers, product teams More ❯

objectives. This is a fast-paced role with a keen eye on revenue generation and managing toward aggressive growth targets. Responsibilities Data Science and Modelling: Utilize advanced data science techniques to analyze large datasets, develop predictive models, and generate actionable insights for investment strategies. Forecasting: Implement robust forecasting models … investment strategies. Required Skills Bachelor's or Master's degree in Data Science, Statistics, Finance, or a related field. Proven experience in data science, statistical modelling, and forecasting within the investment or financial sector. Strong proficiency in programming languages such as Python, R, or similar. Experience with AI More ❯

into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve More ❯

design. Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI More ❯

or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. Proficiency in SQL. Ability to More ❯

or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. Proficiency in SQL. Ability to 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 ❯

data in an agile and dynamic team, with experience working with relational databases and writing SQL and Python or similar. Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g. … TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their workstack, clearly communicating any delays and managing expectations effectively. If you are excited about this role but your experience does not 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 mostly R and C++ code that runs as part of our mathematical models. You'll … 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 … A can-do attitude, passion for problem-solving and a knack for finding elegant solutions. Beneficial skills: C++, SQL, experience with understanding statistics and statistical models. Our Recruitment Process The recruitment process involves an initial video interview followed by a workshop-style part-day of interviews in-person at More ❯

Hands-on contributor, applying machine learning methodologies to deliver data science projects that allow the company to achieve its goals. Perform data analysis and modelling on large (Tb) data sets. Work with senior DS and ML engineers to productionise solutions. Analyse a wide range of data sources to identify … years commercial experience, ideally in a data science role. PhD or Masters in a numerate discipline. Strong Python skills. Solid understanding of statistical modelling and machine learning/AI. Excellent interpersonal skills and the ability to explain complex topics to stakeholders. A problem-solving growth mindset with the More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of More ❯

Quant Research and Quant Engineering. We are looking to recruit a talented Quantitative Analyst to join the Research side to contribute to our sports modelling efforts. Your work will help deliver functionality, tools and models to support our broader objectives. What you will do Hands-on contributor to sports … modelling research and related product-driven workstreams. Research, develop and evaluate probabilistic pricing models across multiple sports. Contribute to product development, delivering independently once requirements are clearly set with relevant stakeholders. Carry out exploratory data analysis as part of modelling work, reporting back on findings and determining next … productionise POC models and functionality. Work closely with the Quant Data Engineering team as part of efforts to build out data assets to support modelling work. Write code that follows best practices and facilitates collaboration and re-usability by other team members. Promote work and contributions for use within More ❯

connecting your work directly to the customer experience, making a real and tangible impact. Logical thinking and problem solving Strong communication skills Stakeholder Management 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 ❯