126 to 150 of 1,052 Statistics Jobs in the UK

in valuable areas for the business. Requirements: 4+ years of experience A degree in STEM field 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 More ❯

in valuable areas for the business. Requirements: 4+ years of experience A degree in STEM field 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 More ❯

stay current with changes in core practices, frameworks, and tools. Investigate and resolve reported issues. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field OR equivalent learning and experience. 4+ years experience implementing AI/ML products or advanced degrees. Experience with one or more More ❯

feel supported in the workplace and at home, there's nothing we can't achieve. Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with More ❯

seeking a curious and motivated graduate with a passion for working with data. You should bring: A degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Business, Economics, or similar) Proficiency in Microsoft Excel for data analysis and manipulation Basic knowledge of SQL and an eagerness to improve Exposure More ❯

and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a More ❯

Natural Language Processing or Information Retrieval problems. A Ph.D. in NLP, IR, ML, or a relevant field or an MSc in CS, ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships. Experience with deep learning frameworks such More ❯

and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a More ❯

a brief statement of interests and CV. Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. More ❯

with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar querying languages. More ❯

tools - Git, CI/CD, etc. Proficient on Linux platforms with knowledge of various scripting languages A good level of relevant mathematical knowledge e.g., statistics, time-series analysis, asset pricing theory, optimisation algorithms. Role Responsibilities Work within a team on multi-disciplinary or cross-functional initiatives of notable risk; use More ❯

compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯

and drive their implementation. Ability to successfully build relationships with clients and stakeholders. Mastery of problem solving and solutioning. Proven history and background in statistics/mathematics/macroeconomics. What's in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire More ❯

compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯

and drive their implementation. Ability to successfully build relationships with clients and stakeholders. Mastery of problem solving and solutioning. Proven history and background in statistics/mathematics/macroeconomics. What's in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire More ❯

problems into data, model and decisioning ecosystems, articulating clearly to business leaders how these assets fit together and address their problem. Advanced knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised More ❯

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 More ❯

effectively. Working with the database and performing detailed analysis to detect patterns and estimate impact. What we're looking for: University degree in Mathematics, Statistics, Economics or similar. 4+ years previous experience working in the payments, gaming, gambling, or crypto industry on risk and fraud/AML and compliance topics More ❯

Degree/Diploma Business Intelligence, Data retention platforms, IT systems and Microsoft Office Suite systems or work experience equivalent (or related fields Mathematics, Economics, Statistics, Operational Research, or a related quantitative or analytical discipline) or equivalent experience in a similar role Key Skills Detailed experience in Qlik platform is essential More ❯

knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based More ❯

Microsoft Power BI, SQL certification). Evidence of continuing professional development (e.g., courses in leadership, management, or technical expertise related to Data Science/Statistics). Desirable Postgraduate degree in Healthcare Data Management, Analytics, or a related discipline. Experience Essential Experience as a Senior Manager within an NHS organisation in More ❯

Services Programming experience in one or more of the following; Python, R, VBA, SQL Strong proficiency in Tableau and Excel Relevant degree subject (Maths, Statistics, Data Science or another Science related subject) An interest in finance and the investment management industry Exposure to machine learning Excellent communication skills and business More ❯

scientist function in a B2B environment. Programming experience in one or more of the following: Python, R, VBA, SQL, Alteryx. Relevant degree subject (Maths, Statistics, Data Science or another Science related subject). An interest in finance and the investment management industry. Exposure to machine learning. Excellent communication skills and 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 ❯

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 ❯