76 to 100 of 707 Statistics Jobs in England

technical data into business-friendly insights. Proactive, self-motivated, and able to manage multiple priorities in a fast-paced environment. A degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Business Analytics, or a related discipline. Desirable: Experience with statistical programming languages (e.g., Python, R) for more advanced analysis. Direct experience analysing store-level performance data for More ❯

best practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience More ❯

best practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience More ❯

project management skills What You'll Bring Master's Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field. 2 years+ of relevant work experience. Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and More ❯

and methodologies for future reference. Provide training and support to end-users on data analysis tools. Conduct ad-hoc data analysis as needed. Qualifications & Experience Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field, or equivalent experience (essential). Proficiency in data analysis tools (e.g., Excel, SQL, Power BI) (essential). Strong analytical and problem-solving skills More ❯

with cloud-based data platforms and tools, such as Azure Data Lake, AWS, or Google Cloud. Degree, or equivalent experience, in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or related discipline. Strong working knowledge of Microsoft Office products, specifically MS Excel. Desirable Experience Prior involvement in transitioning data environments, such as migrating from traditional databases to More ❯

and Experience Required Experience Recently graduated or up to 2 years of experience in a similar role Education Advanced degree (Masters preferred) in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering or closely related field A focus on financial markets and electronic trading is a plus Skills Strong proficiency in Python - writing clean, efficient and production-grade code More ❯

their work from start to finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor's or Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven analytics environments Fincrime certifications such More ❯

in machine learning and generative AI, promoting innovation, best practices and standards across data science work within the team YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA: A degree in mathematics, statistics, computer science, econometrics, data science or related field, or equivalent work experience A hands-on approach to problem solving, from understanding the impact down to mathematical details Experience interacting with More ❯

about the flexibility you may need. What are we looking for? Education & Experience: We prefer candidates with a degree, apprenticeship, or diploma in a numerical discipline such as Mathematics, Statistics, or Data Science. Experience in coding, particularly with SQL and Python, is essential, though other languages are also welcome. Technical Skills: Must-Have: Advanced experience with Power BI: Creating and More ❯

tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a related field What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our More ❯

tools (e.g., Airflow), AWS services (e.g., SageMaker, Redshift), or distributed computing tools (e.g., Spark, Kafka) Experience in a media or newsroom environment Agile team experience Advanced degree in Maths, Statistics, or a related field What's in it for you? Our benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our More ❯

addition to base compensation, this role is eligible for an annual incentive plan. What We're Looking For: Basic Qualifications Bachelor's or post-graduate degree in Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field and; 3+ years work experience in relevant field; Knowledge of capital markets (preferably Structured Finance), financial instruments with an emphasis More ❯

client engagements Advanced degree in computer science, mathematics, physics, engineering or related STEM field Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning Excellent collaboration and communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging More ❯

and non-technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelors or Masters in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred (Nice-to-Have) Prior experience in a stealth More ❯

the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest More ❯

the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest More ❯

presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder engagement More ❯

presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder engagement More ❯

custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science More ❯

custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master's with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science More ❯

capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role More ❯

capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role More ❯

departments to provide support for existing clearing house quantitative models. Interact with technology groups for production implementation design. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. 2+ years of work experience in quantitative finance fields from financial institutions, with proven record designing or implementing quantitative finance models. Excellent quantitative, analytical and More ❯

foundational understanding of SQL Familiarity with data visualization tools (e.g., Power BI, Tableau) Excellent communication skills and a collaborative mindset A degree in a relevant field (e.g., Data Science, Statistics, Business, or similar) is advantageous Why Join Us? Competitive Salary Pension 31 days holiday, increasing with service, plus have your birthday off Paid time off annually to volunteer Comprehensive health More ❯