51 to 75 of 448 Statistics Jobs in the UK

SSRS) * Microsoft BI Experience with SSIS/SSRS/SSAS would be beneficial * BSc or higher in a Data related area such as Mathematics, Statistics, Business Finance, Science/similar data analytics heavy degree would be beneficial * Excellent problem solving and decision-making skills. You will receive additional training ...

SSRS)* Microsoft BI Experience with SSIS/SSRS/SSAS would be beneficial * BSc or higher in a Data related area such as Mathematics, Statistics, Business Finance, Science/similar data analytics heavy degree would be beneficial * Excellent problem solving and decision-making skills. You will receive additional training ...

Python, or R to manipulate and analyse data (training and development provided) What We Are Looking For A degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related numerate discipline. You will be analytical, detail-oriented, and comfortable working with large and complex datasets. Strong Excel skills ...

Python, or R to manipulate and analyse data (training and development provided) What We Are Looking For A degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related numerate discipline. You will be analytical, detail-oriented, and comfortable working with large and complex datasets. Strong Excel skills ...

. · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such as statistics, mathematics, economics, engineering or similar. · Experience with Jira/Confluence. · Experience with dbt. ...

insig hts.Communication Ski lls: Excellent verbal and written communication skills, with a knack for storytelling through d ata.Educat ion: A degree in Data Science, Statistics, Mathematics, or a related field (Master’s or Ph.D. preferr ed).What you'll get in re turn Exciting Proj ects: Work on diverse ...

Experience Fully qualified actuary (ACAS, FCAS) with significant experience post‐qualification in reinsurance, insurance, or advisory. Bachelor’s degree in Actuarial Science, Economics, Mathematics, Statistics, or related field. Deep understanding of treaty reinsurance pricing approaches and portfolio analytics, including experience and exposure rating across multiple lines of business. Experience ...

workflows, and identify practicalopportunities to apply these technologies within risk and trading services. Qualifications MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar. Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy. Skills & Experience ...

team environments. Curious, hardworking and detail-oriented, and motivated by complex analytical problem solving. 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. ...

deliver measurable value. You'll drive change, shape innovative solutions, and actively redefine how organizations harness data. What we expect from you Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field Strong programming skills - Python and SQL are essential; PySpark experience is highly advantageous Experience with version control ...

written and verbal communication skills.* Curious, self-motivated, and eager to learn new technologies and investment concepts.**Qualifications*** University degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline.* Relevant experience in investments, quantitative research, data analytics, financial technology, or portfolio management is preferred.**Core Competencies ...

model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google ...

. Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas ...

your team as you solve challenging problems together. MINIMUM (ESSENTIAL) REQUIREMENTS A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery ...

your team as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model ...

your team as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical ...

engineering best practices. Deep knowledge of statistical and machine learning models—gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Comprehensive understanding of statistics: hypothesis testing, confidence intervals, bootstrap. Experience with end-to-end model development and maintenance for business-critical automated decision-making in a consumer-facing industry. ...

effective risk oversight across the CCR portfolio Required qualifications, capabilities, and skills Bachelor's degree in a discipline such as Financial Engineering, Mathematics, Physics, Statistics, Engineering, Finance and/or Economics Strong analytical and problem-solving skills, with the ability to synthesize complex risk information, identify practical solutions, and communicate ...

processes.* Assist with internal and external audits. **What you’ll bring:*** Bachelor’s or Master’s degree in Actuarial Science, Computer Science, Mathematics, Statistics, or a related field.* Minimum of 3 years of relevant experience in P&C insurance reserving, with a strong focus on data management and system development. ...

Participate in testing, code reviews, documentation and release activities. Skills, Knowledge and Experience Degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, Physics, Engineering, or equivalent practical experience. Knowledge of machine learning concepts and tools. Strong software development skills. Python development experience. SQL and database design experience. ...

warehouses, SQL, and data visualization techniques. Education & Experience: A 2.1 or first-class degree in Mathematics or a related numerical field (e.g., Physics, Engineering, Statistics) is preferred. Strong 'A' Level results, including Mathematics. Personal Attributes: Excellent verbal and written communication skills. Analytical thinker with a logical and methodical approach ...

including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering ...

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 ...

guides, and onboarding materials accessible to non-technical colleagues and clients Requirements Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally recognised university ...

pipelines. Strong hands‐on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring ...