1 to 25 of 117 Permanent Statistics Jobs in England

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 ...

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 ...

Scikit-learn Degree in computer science, data science, maths, engineering or similar Strong understanding of machine learning models and model appropriateness, probability and statistics Strong SQL skills essential , Git version control essential Visualisation; PowerBI desirable or alternatively experience with other tools (e.g. Tableau, Qlik, etc) and willingness and ability ...

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 ...

enhancing their analytical skills and techniques. About You Experience working within the energy and utilities sector A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field. Proven experience working as a Senior Data Analyst or in a similar role, preferably in a corporate or analytical environment. Strong ...

multiple projects and problem domains. Required Skills & Experience Master's degree or PhD in a quantitative discipline (Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or similar) Strong programming skills in Python, R, or similar Excellent mathematical modelling and analytical skills Experience working with large or complex datasets Ability ...

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 ...

within Azure , ensuring robust MLOps practices. Required Skills & Experience Education & Technical Foundations Degree: Bachelor’s or Master’s degree in STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). ...

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 ...

innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. ...

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 ...

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 ...

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 ...

response modelling, churn). Experience building KPI frameworks tied to marketing performance. Experience coaching junior team members. Qualifications: Degree in a quantitative field (Maths, Statistics, Data Science, Economics, Marketing Analytics, etc.). Certifications such as Google Analytics, Power BI, Tableau, CIM (preferred). HOW TO APPLY If you want ...

translating data into actionable strategy. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Degree (or equivalent) in Data Science, Mathematics, Statistics, or a related field. Desirable: Experience migrating from traditional databases to data lake architectures. Background in Financial Services or other regulated industries. Exposure to SAP/ ...

organisation's data systems WHAT WE NEED FROM OUR BUSINESS ANALYTICS SPECIALISTS: A degree in Data Science, Computer Science, Management Information Systems (MIS), Finance, Statistics, or a related field could be an advantage Significant experience as a Data Analyst, Business Intelligence/BI Analyst, Market Research Analyst, Financial Analyst, Statistician ...

SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation and continuous ...

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 ...