76 to 100 of 208 Statistics Jobs in the UK

science and product development. We're looking for someone who Is studying or has recently completed a degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Data Science or a related quantitative subject. Has strong programming skills, ideally in Python. Enjoys solving complex problems from first principles. Can translate ideas into ...

Strong background in machine learning. Strong programming skills in Python or C++. Bachelor’s degree in a technical field such as computer science, mathematics, statistics or equivalent engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related deep learning ...

mentor scientists and lead cross-functional initiatives What You'll Bring Technical Expertise: Strong Python (pandas, scikit-learn, statsmodels) and/or R Solid statistics—inference, experimental design and causal methods Machine learning—supervised and unsupervised methods and rigorous evaluation Strong SQL and comfort with messy, real-world data Experimentation ...

Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire. Can travel ...

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 ...

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 ...

scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate ...

Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. ...

Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role‐specific outcomes within 3 months of hire Can travel ...

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...

with SQL/large datasets/AI tools and the aptitude and willingness to learn BA/BS or equivalent qualification. Major in finance, statistics, quantitative economics or another degree emphasising data analysis preferred Bonus points if you have: Familiarity with BI & Sales tools such as Nexus, Claude, Gemini, Tableau ...

utilize systematic, data-driven approaches to understand how markets work and put those ideas in action. The team spans the disciplines of finance, econometrics, statistics, mathematics, machine learning and data analysis, with many team members well versed in multiple areas. We are looking to hire highly talented, creative individuals ...

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. ...

projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical ...

solving skills Candidates should have at least three of the following skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications over large amounts ...

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). ...

regulated environment Excellent communication skills to distil complex technical topics for senior stakeholders Preferred Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Engineering, Statistics, or a related field #J-18808-Ljbffr ...

alike. Must have the ability to translate complex technical concepts into clear business insights and recommendations Proven experience with varying Data Science techniques across statistics, machine learning, and GenAI coupled with strong programming skills in Python and SQL are essential. Any experience working within highly regulated environments is preferred ...

actionable * Lead collaboration with stakeholders, integrating data from multiple sources and partners to deliver holistic business insights Qualifications * Post graduate Degree in business, economics, statistics, mathematics, engineering or finance * Minimum 3 years' relevant analytics experience with a background in quantitative business analysis and statistical techniques; experience in risk analytics, digital ...

functional roles relating to data science and how they can be most effectively applied to solve business problems Qualifications Strong knowledge of applied mathematics, statistics and scientific methods, with the ability to apply these to practical data science challenges and provide expert guidance to teams. Experienced in providing technical leadership ...

data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical ...

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 ...

scale datasets to extract precise, detailed market insights. Advanced experience using Microsoft Excel for complex data modelling and reporting. An educational background in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field. Exceptional communication skills demonstrated by the ability to translate complex statistical data into clear, actionable business strategies ...

initiativesMinimum Qualifications:Strong background in Machine LearningStrong programming skills in Python or C++Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related ...