176 to 200 of 638 Statistics Jobs in England

ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An More ❯

Apply data science expertise to solve real-world digital marketing challenges, driving smarter budget allocation and measurable outcomes for clients. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong More ❯

Apply data science expertise to solve real-world digital marketing challenges, driving smarter budget allocation and measurable outcomes for clients. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong More ❯

emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯

emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯

to extract insights from data to inform policy decisions. Excellent written and verbal communication skills to present findings effectively. A degree in a relevant field such as data science, statistics, or economics. Knowledge of data governance and data security best practices. What's on Offer A competitive salary in the range of £43,000 to £50,000 per annum. Outstanding More ❯

will get to work with data sets drawn from a wide variety of internal and external sources; including operational, customer and environmental data. You will apply your knowledge of statistics to business challenges and work together with colleagues to ensure that the results of your work are well understood and put to good use. Using your data analysis skills, you More ❯

Participate in projects focused on budgeting, forecasting, and performance tracking. Continually improve your analytical skills with mentorship and access to the latest tools. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or similar. Foundational understanding of data analysis and a clear interest in financial analytics. Excel proficiency is essential; familiarity with SQL, Python, or R is a plus. Strong numerical and More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

new product launches, from requirements gathering to deployment. BASIC QUALIFICATIONS - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) PREFERRED QUALIFICATIONS - Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data integrity and quality; Requirements Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or other STEM related field; Extensive experience working with large, unstructured datasets and ideating unique features; Knowledge of general finance and company fundamentals; 3+ years in a More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience,credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R More ❯

strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or More ❯

comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications : Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency More ❯

architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to manage More ❯

capital requirements for Markets Front Office, including SACCR and Resolution. Leverage a wide variety of mathematical and computer science methods and tools. Develop pricing models using advanced financial mathematics, statistics, probability, and numerical techniques such as Monte Carlo Methods and partial differential equation solvers. Implement solutions primarily using Python and C++ programming languages. Provide direct support and collaborate closely with More ❯

solutions Preferred Knowledge & Skills Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Hybrid working (2 days in London More ❯

cloud-based Knowledge of statistical and data science techniques (e.g., forecasting, regression, clustering) Experience with Data Visualization tools (Tableau preferred, Power BI, Looker) Degree in a numerate subject (Math, Statistics, Economics, etc.) 1-2 years' experience in a data analyst or similar role in a fast-paced environment Who We're Looking For: A commercially driven analyst passionate about business More ❯

using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk and More ❯

libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective More ❯

MySQL) and data visualization tools (Data Studio, Tableau). Python is a plus. Experience with big data sets (billions of rows) preferred. Advanced Microsoft Excel skills. Degree in Mathematics, Statistics, Economics, or Computer Science preferred. Strong organizational, communication, and time management skills. Ability to take initiative and manage projects independently. We welcome applications from candidates who meet most requirements and More ❯

of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values . Required Qualifications: Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience in More ❯

technical stakeholders with clarity and impact. Support go-to-market efforts with technical insights and customer-facing engagements. SKILLS Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field. Experience with AI governance, model explainability, and regulatory compliance. Familiarity with composable banking platforms and financial services data. Experience working in agile, cross-functional teams in a More ❯