51 to 75 of 133 Statistics Jobs in the UK

data science and machine learning Expert‐level Python programming with a focus on implementing diverse statistical and ML techniques Deep theoretical foundation in statistics, experimental design, and advanced modelling Proven track record of deploying end‐to‐end data science solutions into production Leadership and mentorship capabilities to elevate team performance ...

highly collaborative teams. Motivated by complex analytical problems; curious, hardworking, detail‐oriented. Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics and Statistics and familiarity with financial services industry and continuous integration models and unit test development. Knowledge of graph integration with LLM, reinforcement learning or meta‐learning. Experience with ...

concepts and results. Curious, hardworking and detail‐oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning ...

observability, etc. Experience monitoring, maintaining, enhancing existing models over an extended time period. Specialism in NLP or Computer Vision. Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders, etc.). Extensive experience with PyTorch, NumPy, Pandas. Hands‐on experience ...

quality software applications. BSc or Masters degree in a data related subject. It would be great if you also have: A strong background in statistics and data assimilation techniques. Prototyping AI/ML techniques (e.g. LLMs and neuromorphic systems). Knowledge of Electromagnetic Spectrum systems such as Radar, Electronic Warfare ...

shaped by, future Graphcore hardware and software systems. About you Essential: Master’s, PhD or equivalent experience in a technical discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Experience in visual generative AI, visual understanding or world models. Strong Python programming skills using a modern deep learning ...

roadmap for product analytics, business analytics, and marketing measurement. Build and lead a multidisciplinary team of product, marketing, and business analysts plus experiment and statistics leaders. Own the end-to-end experimentation practice: hypothesis, design, instrumentation, monitoring, analysis, and rollout. Lead marketing measurement and optimization: attribution, incrementality and holdout tests ...

issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills — with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs ...

issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills – with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs ...

measures Solid understanding of data modelling techniques such as star and snowflake schemas Experience working with ETL processes and data integration Confidence applying descriptive statistics and analytical techniques Strong background in requirements gathering and stakeholder engagement Experience creating and maintaining data dictionaries, business glossaries and metadata documentation Comfortable working ...

contributing to internal knowledge sharing. What You'll Need: To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data ...

contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data ...

ramps, payment processing, or financial infrastructure. Strong SQL skills; experience exploring raw datasets, building metrics dashboards, and validating system behavior independently. Solid foundation in statistics and ML evaluation metrics relevant to fraud detection. Proven track record of working with data scientists, risk engineers, and fraud ops teams to ship high ...

test hypotheses, not just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda ...

business acumen. Strengths in verbal and written communication, building and delivering presentations, and storytelling Expertise and comfort working with quantitative and qualitative data (basic statistics, examining patterns, developing recommendations based on data). Agility and comfort with ambiguity to adapt and adjust to the market, the state of the organization ...

managing and developing product data scientists and data engineers. Core analytics skills: data interrogation skills with SQL/Python, data modelling/engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling). Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology services. ...

your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used ...

your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used ...

similarly complex multi-site service organisations Exposure to AI, machine learning, or predictive analytics initiatives delivered at scale Academic background in data science, mathematics, statistics, or a related quantitative discipline ...

clear, performant, and reliable queries to transform large complex datasets. Experience building and owning automated data pipelines with tools like DBT or Airflow. Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions. Ownership: Enjoy working independently in a fast‐paced environment, identifying impactful ...

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

such as HuggingFace, Langchain, and OpenAI. Hands‐on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Experience communicating and teaching technical concepts to non‐technical and technical audiences alike. Passion for collaboration, life‐long ...

reliable queries to transform large complex datasets) You have experience building and owning automated data pipelines with tools like DBT/Airflow Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions. Ownership: You enjoy working independently in a fast‐paced environment: identifying impactful ...

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 ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.A drive for continued learning through an internal and external focus, and an ability to prototype new techniques ...