101 to 125 of 711 Statistics Jobs in the UK

technical stakeholders. Support ongoing projects around forecasting, budgeting, and financial planning. Continually improve your technical and financial knowledge with support from senior staff. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or a closely related field. Strong interest in data and financial analysis. Confidence working with Excel ; familiarity with SQL, Python , or Power BI is a plus. Basic understanding of financial More ❯

Business Analytics and Consulting Preferred Qualifications Proven experience in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯

infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving More ❯

to better reflect any changes required in the role. Person Specification Qualifications Batchelors/Masters Degree in Finance/Economics or similar discipline. Excellent quantitative academic credentials (Maths/statistics, engineering, science). Knowledge and experience Ideally a working knowledge of Azure Cloud Platforms, or strong transferable skills from other cloud platforms. Experience using SQL for database management essential. Proficiency More ❯

data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelors degree in Data Science, Computer Science, Engineering, Mathematics, Econometrics, Statistics or related field 5+ years of experience in a marketing science/analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling More ❯

to optimise risk-adjusted returns. Stakeholder Collaboration: Working with internal teams, including operations, product, finance, and compliance, to align risk management objectives with business goals. A degree in Finance, Statistics, Economics, Mathematics, or a related field. Proficient in SQL. Experience with credit scoring systems, credit policy and methodologies in the French market (consumer or SME) Strong understanding of credit risk More ❯

directly to the CTO and be responsible for building a focused data team while working closely with engineering, product, and healthcare specialists. Required Skills: Advanced degree in Data Science, Statistics, Computer Science, or related field 5+ years experience in data science with at least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience More ❯

Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication and presentation abilities, with proficiency in conveying intricate technical concepts to stakeholders without technical backgrounds. More ❯

Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication and presentation abilities, with proficiency in conveying intricate technical concepts to stakeholders without technical backgrounds. More ❯

acquire new data sources that deliver innovative perspectives to our clients WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Strong Python and other programming skills (Java and/or Scala desirable) Strong SQL background Some exposure to big data technologies (Hadoop, spark More ❯

ML engineer. Stay updated with the latest advancements in machine learning, AI, and data science Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 3+ years' experience in implementing scalable ML systems into the production environment. Experience in all parts of the lifecycle of ML projects, including initial conceptualization, data More ❯

consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for More ❯

Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences. Qualifications What we are looking for Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields. 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics. Ability to More ❯

imputation Contribute to the strategic planning of the UX research roadmap and help evolve research practices to meet changing business and user needs BASIC QUALIFICATIONS PhD or MS in statistics, quantitative field, experimental psychology or a related discipline 10+ yrs industry experience leading quantitative research, including developing and validating survey measures and/or assessments and applying quantitative methods to More ❯

least 4 years of experience in the Data Analytics space (preferably in a consulting context). University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent. End to end knowledge of data warehouse and reporting processes. Ability to identify and implement process improvements in a controlled manner. Have strong consulting skills, having applied business More ❯

the collaboration are met.- Preparing presentations and written work for meetings with collaborators and for publication as journal articles. Experience required for the role - Experience in Computational Biology, Biostatistics, Statistics, Bioinformatics or a related field, with an associated Masters, or ideally PhD, qualification.- Experience of processing and analysing large biological datasets.- Expertise in programming using at least one of R More ❯

proactively identify opportunities to incorporate these innovations into our AI strategies. Qualifications, Experience, and Attributes: Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact. Demonstrated expertise More ❯

Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we More ❯

to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science experience in a commercial environment or completed a PhD with two years of suitable industry or research More ❯

in developing forecasting models to predict future trends in collections, recoveries, and debt purchase activities. Provide insights to support strategic planning. Experience Education: Bachelors degree in data science (preferred), Statistics, Finance, Business, or a related field. Experience: Minimum of 2-3 years of experience in data analysis and reporting, preferably within the collections, recoveries, or debt purchase environment. Technical Skills More ❯

to Ad Tech (DSP, SSP, programmatic auctions) or financial/trading data would be preferred Comfort with high-velocity event streams and real-time metrics Solid grounding in classical statistics (hypothesis testing, regression, significance, p-value pitfalls) Ability to translate data into plain-English insights and present to C-level audiences Experience working in cloud data warehouses (Snowflake, BigQuery, Redshift More ❯

all capabilities within role scope. Maintain a strong scientific culture within the team Experience and qualifications: Ph.D. (preferred) or master's degree in computer science, Machine Learning, Mathematics/Statistics or another related field of science. 10+ years of experience in applied machine learning (7+ years if Ph.D.), with at least 4 years in a leadership role. Depth of expertise More ❯

Teamwork: the capacity to operate as a team player, working co-operatively with colleagues and clients Academic background: degree at graduate or postgraduate level, preferably in Data Science, Mathematics, Statistics, Economics, Finance, and other social sciences with significant quantitative components. Other numerate degrees will also be considered Some experience working in the energy or utilities, environmental sector, or with public More ❯

Teamwork: the capacity to operate as a team player, working co-operatively with colleagues and clients Academic background: degree at graduate or postgraduate level, preferably in Data Science, Mathematics, Statistics, Economics, Finance, and other social sciences with significant quantitative components. Other numerate degrees will also be considered Some experience working in the energy or utilities, environmental sector, or with public More ❯

primary aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like More ❯