26 to 50 of 234 Statistics Jobs in the UK excluding London

data solutions before deployment. Document business processes, data flows, and analytical requirements to support transparency and knowledge sharing. Your Background (Skills and attributes) Bachelor's degree in business, Finance, Statistics, or a related field. Proven experience as a Business Analyst with a focus on data and analytics. Strong attention to detail that is focussed on data quality, accuracy, and completeness More ❯

Advanced knowledge of Microsoft Excel Specialist business intelligence knowledge and expertise acquired through degree level or equivalent qualification/experience Experience of complex data analysis using advanced knowledge of statistics, database design and BI systems tools Understand basic concepts of BI Architecture such as ETL, Data Warehousing and Data Modelling Ability to manipulate, model and analyse data using Excel, SQL More ❯

Job Description Summary GE Aerospace is seeking a highly skilled and motivated Data Analytics and Reliability Engineer to join our team. In this role, you will be responsible for driving data validation, automation strategies, and predictive analytics initiatives to support More ❯

development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL More ❯

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ More ❯

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ 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 ❯

whole Identify and recommend opportunities for cost efficiencies Monitor and audit data quality Required qualifications/Profile Degree qualification or equivalent in a relevant field such as mathematics, economics, statistics or computer engineering In depth knowledge of statistical methodologies and data analysis techniques A strong understanding of data sources, data organisation and storage Knowledge of relevant relational databases such as More ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. 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 ❯

various business departments and provide venue specific customer insights that contribute to strategic decision-making. Qualifications Graduate and/or postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics but not exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the 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 ❯

at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management 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 ❯

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 ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. 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 ❯

and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines More ❯

insights A self-starter, passionate about converting data into actionable insights and business value Adaptive to fast-paced, high autonomy environments Degree or equivalent in a relevant field, e.g Statistics, Mathematics Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants. More ❯

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and More ❯

necessary. Experience in DevOPS is a plus with hands on experience in Jenkins, Git and any one artifactory tool. Qualifications Masters or B.S. degree in Computer Science, Data Science, Statistics Engineering or a related field. Expertise in Oracle database, with strong proficiency in SQL and PL/SQL, Oracle access control (roles, privileges, user management, and data security). Working More ❯

and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D More ❯

and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D More ❯

particularly in roles that bridge data, product, and customer experience. Background in consulting, strategy, or transformation programmes with a focus on data and measurement. A Background in behavioural science, statistics, or customer analytics. Familiarity withNext Best Action (NBA)ordecisioning platformsin a marketing or customer experience context. About working for us Our ambition is to be the leading UK business for More ❯