1 to 25 of 155 Statistics Jobs in the UK

experience in client-facing data science roles with demonstrable impact on business outcomes. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Strong proficiency in Python or R, including libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch. Solid understanding ...

clear and concise data visualizations and communicate insights to technical and non-technical stakeholders. Required Qualifications Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field . Strong proficiency in Python and key data science libraries ( NumPy, pandas, scikit-learn, Matplotlib, Seaborn ). Basic understanding ...

systems) ESR (Electronic Staff Record) reporting EPR/PAS reporting Person Specification Qualifications Essential Educated to degree level in a relevant subject (e.g. Mathematics, Statistics, Computer Science, Data Analytics, Information Management, or a related discipline), or able to demonstrate equivalent level of experience and expertise. Evidence of continuing professional development ...

exposure to data science beyond modelling — including productionisation, compliance, and engineering collaboration. Essential Requirements Degree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, Physics, Engineering) or equivalent experience Early career stage (graduate, placement, bootcamp, or personal projects) Strong Python skills (pandas, scikit-learn) Solid SQL skills (joins, aggregations ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master's or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master's or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost ...

hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost ...

ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should be comfortable with everything from classical statistics and regression to deep learning and NLP. Data Engineering: Proficiency in SQL and experience working with modern data stacks (e.g., Snowflake, Spark, or cloud-native ...

technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor's/Master's: 1–2 years of industry experience or relevant internships in ML, software engineering ...

technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor’s/Master’s: 1–2 years of industry experience or relevant internships in ML, software engineering ...

experience, including 8+ years of hands-on experience in machine learning and data science Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection ...

financial services sector. Profile Credit Risk Analyst - Consumer Lending A successful Credit Risk Analyst should have: A strong academic background in Mathematics, Statistics, Economics, or a related field. Proficiency in data analysis tools and programming languages such as SAS,SQL, & Python . Experience with Amazon Quick site & AWS Redshift. Experience ...

Qualifications Strong interest in artificial intelligence, data science, or software development Basic understanding of programming (Python preferred) Familiarity with concepts such as data analysis, statistics, or algorithms (academic or self-taught is fine) Willingness to learn, ask questions, and take feedback Good communication and teamwork skills Training Level 4 Artificial ...

innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be desirable Please see attached Job Description and Person Specification for further details. About ...

Engineer Location: London, UK Duration: Contract Job Description: Your Profile Essential skills/knowledge/experience: Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field. 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, GenAI etc. ...

view to possibly becoming more hybrid thereafter. The role is paying £80,000-£100,000 DOE plus benefits. Required Qualifications Degree in data Analytics, Statistics, Computer Science, Economics, or a related field 10+ years of experience in data analytics, business intelligence, or insights roles 5+ years in a senior leadership ...

with senior analysts on diverse and high-impact projects. Learn and apply leading statistical methods, tools, and software. Requirements: Bachelors degree in Data Science, Statistics, Computer Science, or a related field. Strong analytical mindset with excellent attention to detail. Basic knowledge of Excel, SQL, and data visualisation tools such ...

with senior analysts on diverse and high-impact projects. Learn and apply leading statistical methods, tools, and software. Requirements: Bachelors degree in Data Science, Statistics, Computer Science, or a related field. Strong analytical mindset with excellent attention to detail. Basic knowledge of Excel, SQL, and data visualisation tools such ...

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 ...

data-driven recommendations. Qualifications 3+ years of professional experience in product/growth analytics. A degree in a quantitative technical field such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Required Skills Strong SQL skills and experience working with large-scale data. Familiarity with marketing and UA metrics (CAC, ROAS ...

reporting confidence. They will put your through relevant data analytics certification. Qualifications & Requirements: Bachelor's degree in a Data related area such as Mathematics, Statistics, Business Finance, Science/similar data analytics heavy degree, or 1+ year of professional Data Analysis experience. Strong experience with Excel and SQL Excellent problem ...

contributing to scalable, modular research or trading systems. Strong quantitative background with a degree in a highly technical field (Computer Science, Mathematics, Physics, Engineering, Statistics, or related STEM discipline). Excellent problem-solving skills and the ability to work closely with front-office teams. Bonus/Preferred Skills Knowledge ...

agile environment Solid understanding of Linux and AWS Excellent communication skills you can explain complex ideas simply A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar) Nice to Have Knowledge of networking protocols and how the internet actually works Experience with Splunk & SPL SQL or similar data manipulation ...

agile environment Solid understanding of Linux and AWS Excellent communication skills you can explain complex ideas simply A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar) Nice to Have Knowledge of networking protocols and how the internet actually works Experience with Splunk & SPL SQL or similar data manipulation ...