1 to 25 of 346 Remote Statistics Jobs in England

comprehensive listing of required activities, duties, or responsibilities. What you'll need Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. One (1) year of professional experience. Demonstrated performance in roles focused on AI, machine learning, and advanced analytics. Professional services experience More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with More ❯

clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Core Qualifications: Master's degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning More ❯

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

to-date with developments in the energy sector, environmental policies, and emerging trends in data analytics. Required Qualifications & Skills: A degree in Data Science, Statistics, Environmental Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data More ❯

the business to drive data-led decision-making. What We're Looking For: 3+ years of experience in data analytics. Degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in data visualisation tools (Power BI, Tableau, etc.). Experience in SQL and ERP systems. Strong financial modelling and More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

are looking for people who can support our ethos. To apply to this post, you will have: A BA/BSc/MA in Statistics, Maths, Industrial engineering, or other quantitative field Experience in a quantitative role using R/Python and writing complex SQL code Excellent communication and presentation More ❯

tools (e.g., Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics) What we offer Our roles offer more than just a job, you'll become part of the William Hill More ❯

Analytics, Tableau, Looker, Qlik, Micro Strategy etc... Python experience SQL experience Stakeholder management experience An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong More ❯

Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting-edge AI projects with More ❯

analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided More ❯

and drive operational improvements. What We're Looking For Relevant Bachelor's or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and More ❯

Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯

Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯

promote a data-driven culture. Guide teams within the AECO organization on process improvement best practices. Skills & Experience: Bachelor's degree in Business Administration, Statistics, Computer Science, or related field. Proven experience as a Data or Business Analyst, with stakeholder management skills. Experience in sales or marketing analytics. Working knowledge More ❯

field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or More ❯

field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or More ❯

actions. Participate in the evaluation and implementation of new data analytics tools and technologies. Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. Experience in a data analytics role, with a strong focus on core banking data. Proven experience working with large and complex More ❯

paced environment, delivering on multiple projects with tight deadlines, especially during key reporting periods. Bonus Points for: Educational background in Business Analytics, Engineering, Maths, Statistics, or similar quantitative discipline preferred. Direct experience working within a cloud based FP&A tool along with working with Hubspot and Xero. Understanding of databases More ❯

communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms More ❯

understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate complex models into actionable business insights. More ❯