126 to 150 of 208 Statistics Jobs in the UK

executive level roles Primary Skills and Qualifications Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain, Operations Research, Computer Science, Computer Engineering, Statistics, Information Technology or a related field. Minimum 8 years of broad experience in software implementation consulting in the supply chain planning or supply chain execution ...

must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering ...

limited to:o Federated Data Platform and Common Data Platform projectso Curation of national data sets for onward use (e.g. Hospital Episode Statistics, Community and Mental Health, Vaccines, Prescriptions)o NHS Workforce Datao Get it right first time (GIRFT) a national programme designed to improve the treatment and care ...

guide junior team members, fostering professional development and collaboration across regional finance teams. What we are looking for Bachelors degree in Economics, Finance, Statistics, Marketing, or a related field (Masters degree preferred) Multiple years of experience in corporate, advisory, or structured debt financing roles, ideally within data centers, digital infrastructure ...

working with semantic models, knowledge graphs, entity resolution, metadata governance, or AI‐ready data initiatives. Academic or professional background in computer science, data engineering, statistics, economics, operations research, or a related technical discipline. You’ll be successful in this role if you: Improve the velocity and variety of content that ...

scale. Partner cross‐functionally with stakeholders and help raise analytical, measurement, and experimentation standards across the business. Role Requirements Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline. 4–6 years of experience in Data Science, Product Analytics, Marketing Analytics, Growth Analytics … similar analytical role. Advanced SQL and Python or R skills. Strong foundation in statistics, experimentation, and causal inference methodologies. Experience designing and analysing A/B tests, controlled experiments, holdouts, and geo experiments. Experience measuring incrementality and evaluating business initiatives using data‐driven approaches. Strong understanding of growth and performance ...

scale.* Partner cross-functionally with stakeholders and help raise analytical, measurement, and experimentation standards across the business.**Role Requirements*** Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.* 4–6 years of experience in Data Science, Product Analytics, Marketing Analytics, Growth Analytics … similar analytical role.* Advanced SQL and Python or R skills.* Strong foundation in statistics, experimentation, and causal inference methodologies.* Experience designing and analysing A/B tests, controlled experiments, holdouts, and geo experiments.* Experience measuring incrementality and evaluating business initiatives using data-driven approaches.* Strong understanding of growth and performance ...

specialist environments What we're looking for: Strong understanding of machine learning fundamentals Knowledge of LLM principles and transformer architectures Strong mathematics and statistics foundation Experience with Python and ML frameworks Understanding of model evaluation and optimisation techniques Ability to communicate complex technical concepts clearly Experience with explainable ...

Looking For Experience with Marketing Mix Modelling or statistical modelling Strong Python skills and experience working with large datasets Understanding of Bayesian statistics and attribution methodologies Experience with tools such as Meridian, Robyn, PyMC, or similar Ability to communicate technical findings clearly to stakeholders Strong attention to detail and analytical ...

challenge Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software ...

need exploring. Essential Skills and Experience: Foundational Excel skills with the appetite and commitment to build them quickly Some exposure to SQL, data tools, statistics, marketing analytics, commercial analysis or customer A naturally inquisitive approach: you enjoy asking why something happened and what the business can do next. Great communication ...

computer architecture. Familiarity with Agile or other modern technical project management frameworks. Knowledge of modern inference‐serving frameworks (e.g., vLLM). Background in statistics, operations research, or large‐scale datacenter infrastructure. Contributions to open‐source AI or systems projects. Benefits High‐impact role in a rapidly growing, well‐funded organisation. ...

combines quantitative expertise with practical risk management experience. You bring: An actuarial qualification or equivalent quantitative background, together with a university degree in mathematics, statistics, actuarial science, finance, physics, or a related discipline. Significant experience in insurance, reinsurance, risk management, or a related financial services environment. Strong understanding of capital ...

Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields. Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration. Have solid machine learning and NLP fundamentals, with experience in shaping ...

phased site development plans to achieve time, budget, and quality standards in a predictable fashion. Continuously update a campus comprehensive plan to provide predictable statistics in a dynamic environment. Responsibility for the programme planning which outlines the required workstreams needed to set up the project and management of said ...

resistance, building adoption across different types of people, and making change persist beyond your direct involvement. Technical background: You have a background in probability, statistics, or a related quantitative field, with hands‐on experience building and overseeing probabilistic ML models on structured commercial or financial data. Production experience: You have ...

across the wider data community. Support the development of innovative solutions that deliver measurable business value. Required Skills & Experience Strong foundation in Machine Learning, Statistics, and Data Science methodologies. Extensive experience developing and implementing machine learning models using Python. Proven experience working with large-scale datasets and distributed computing frameworks. … Excellent communication and stakeholder management skills. Preferred Qualifications Master's degree, PhD, or equivalent qualification in a quantitative discipline such as: Mathematics Computer Science Statistics Engineering Physics Related fields Equivalent commercial experience within a Data Science role will also be considered. Personal Attributes Intellectual curiosity and a passion for continuous ...

management responsibility dependent on the candidate’s experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest ...

Amplitude, a leading AI analytics platform, is seeking a Customer Data Scientist to combine experimentation expertise with applied statistics to help global customers evaluate and scale modern experimentation programs. The role partners with Sales, Solutions Engineering, Product, and Engineering to guide customers through design, analysis, and deployment of rigorous experiments ...

Lead Data Scientist to shape and deliver data science strategy across the Jet2 business. You will lead a team of data scientists, applying ML, statistics and advanced analytics to unlock commercial value and enhance customer experiences. Based in Leeds with hybrid work, you will partner with stakeholders to identify opportunities ...

advise on design, metrics, and architecture. The role involves collaborating with data scientists, engineers, and senior stakeholders, delivering scalable experimentation programs, and translating complex statistics into practical business outcomes. #J-18808-Ljbffr ...

probabilistic models for lending decisions, embedding AI across the business, and collaborating with engineering and product teams. Candidates should have a strong background in statistics, experience managing data science teams, and a proven capacity for transforming analytical workflows. This position offers a hybrid work model with a competitive salary range ...

analysis across Marketing, Product, Pricing and Risk to drive decisions. The role requires strong SQL and Python/R skills, a solid foundation in statistics and rigorous experimentation methods, with a focus on incrementality and ROAS optimization. Hybrid work in London and broader UK coverage is offered. #J-18808-Ljbffr ...

teams. The successful candidate will work closely with various teams to shape strategic decisions and must demonstrate strong leadership and a technical background in statistics and probability. A salary between £120,000 to £170,000 is expected. #J-18808-Ljbffr ...

JMAN Group Limited is a rapidly scaling data science partner delivering applied ML and statistics to drive measurable business outcomes. You will own end-to-end data science engagements, shaping ambiguous problems, designing models, and embedding them into live workflows. The role blends hands-on modelling with client interaction ...