76 to 100 of 213 Statistics Jobs in the UK excluding London

using Python for data manipulation and advanced analytics. Familiarity with Google workspace tools.Academic Background: A BA/BSc (2:1 or higher) in Mathematics, Statistics, or another numerically focused degree.Broad Financial Context: Prior experience within the wider Financial Services sector.People Management: Prior experience of managing a small team to deliver ...

project management and financial sector background. Therefore, the post-holder must have: A master’s degree from a recognised institution in business administration, economics, statistics, data analytics, risk management, or related discipline; or equivalent professional qualification(s) from a recognised professional body combined with relevant work experience appropriate ...

through publications, presentations, and external collaborations.Interested? For this role, we are looking for the following education, experience, and skills:You have a PhD in Statistics, Computer Science, Engineering, Computational Biology, Statistical Genetics, Mathematics, or a related scientific field.You bring experience in industry, ideally within pharma, clinical development, life sciences ...

instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills ...

leader who knows how to translate technical capability into commercial value. You'll bring: Significant experience leading Data Science, Machine Learning, Operational Research or Statistics teams Experience managing and developing teams of eight or more professionals A track record of delivering production models that generated measurable business or customer outcomes ...

across problem types, from generative models to vision to search. We expect you to bring: PhD or equivalent experience in Machine Learning, Computer Science, Statistics, Physics, or a related quantitative field — 5+ years (Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity ...

developing and leading a high-performing analytics teamAbout YouStrong experience with SQL, Python or similar analytics tools Deep understanding of experimentation frameworks and the statistics behind them Proven experience building segmentation and targeting models using machine learning Confidence using BI tools like Power BI to tell compelling data stories ...

annotation, data normalisation and filtering techniques.Bioinformatics and pipeline development skills in e.g., KNIME, R or Python.Data handling expertise, database and literature searching.Experience in multivariate statistics and downstream data analysis approaches: differentially abundant metabolite (DAMs) selection, pathway analysis, biochemical data interpretation.Exceptional attention to detail, compliance with best practices and quality assurance ...

Good understanding of Consumer Duty and the role customer insight plays in demonstrating good customer outcomes Educated to a degree standard, ideally in applied statistics/operational research/management science. Insatiable curiosity with natural desire to relate to the commercial agenda of the business and to changes going ...

technical trade‐offs, risks and progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. 5+ year work experience in relevant field. Strong software engineering capability in Python, including ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

attribution models, and marketing automation platforms. - Ability to analyze raw campaign data and develop actionable insights related to paid media performance. Understanding of basic statistics and mathematical modeling concepts such as statistical significance, standard deviations, and regression analysis. - Experience with incrementality testing, geo-lift studies, or other advanced measurement methodologies. ...

care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python ...

engineering and data engineeringIn-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etcSolid knowledge of statistics: hypothesis testing, confidence intervals, bootstrapExperience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer ...

statistical modelling, analysis and lightweight prototyping.Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principlesSolid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context.Strong product sense and commercial instinct - you can connect work ...

skills and clear ownership across the organisation.Track progress and increase data maturity, adoption and value. What you'll bring: A relevant degree (Data Science, Statistics, Mathematics, Computer Science, or related subject or equivalent) or professional certifications in analytics/data management.Proven experience of developing and delivering an organisation-wide data ...

codeFamiliarity with common Python libraries for data management, statistical analysis, machine learning.Experience with popular machine learning frameworks such as TensorFlow and PyTorch.Strong understanding of statistics and probability.Strong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use.Experience with one or more ...

work.Skills and ExperienceEducation and Certifications Degree or equivalent experience in a relevant discipline such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field.Proficiency in at least one programming language (e.g., SQL, Python, R).Experience, Skills and CompetenciesWe are looking for candidates with … data, analytics, BI, engineering, data science, AI, automation or governance.Degree or equivalent experience in a relevant discipline (e.g. Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Business Analytics).Proficiency in SQL and at least one of Python, R, DAX or Power Query.Strong analytical and problem-solving skills with messy ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

range of services. Required Skills & Qualifications: Degree or postgraduate qualification in a relevant field such as computer science, mathematics, data science, social science, or statistics, or equivalent experience. Strong knowledge and awareness of a range of data and insight disciplines including business intelligence, data analytics, data visualisation, qualitative research ...

person attendance. Key requirements: A degree or postgraduate level qualification in a relevant field such as computer science, mathematics, data science, social science or statistics or equivalent experience of working at or applying knowledge and skills at this level. Strong knowledge and awareness of a range of data and insight ...

team leadership skills: mentoring, cross‐functional collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting ...

risk coverage related to money laundering and terrorist financing. Familiarity with the current regulatory landscape within financial crime compliance. Background in mathematics or statistics, including areas such as probability, machine learning, and AI. You may be assessed on the key critical skills relevant for success in role, such as risk ...

high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work ...