1 to 25 of 134 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 ...

effectively through compelling visualizations and presentations. What We're Looking For: To thrive in this role, you should have: A degree in Computer Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques ...

tools to spot trends and present findings visually. We do need you to have the following: A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Psychology, Business, Computer Science, Finance, Engineering, or Human Resources. Whilst not to be considered a tick list, we'd like you to have ...

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 ...

skilled but also brings a positive attitude and a thirst for learning. Here's what they are looking for: A degree in Data Science, Statistics, Computer Science, or a related field. Familiarity with programming languages, particularly Python. Basic understanding of machine learning algorithms and data analysis techniques. Proficiency in data ...

energy-focused domains. Solid foundation in statistical analysis, machine learning (regression, classification, clustering, time series). Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, or Physics. Desirable: MSc or PhD in a quantitative field. Cloud-based ML deployment experience. Version control experience (Git) and Agile collaboration. ...

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 ...

experimentation design (A/B testing, multivariate testing, causal inference) Bachelor’s or Master’s degree in a quantitative discipline (Mathematics, Economics, Engineering, Statistics, Computer Science, Physics, etc.). Skills: Advanced SQL, Python (nice to have). Proficient with User Journey mapping tools (ie Mixpanel, Amplitude, GA4) Proficiency with analytics ...

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 ...

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 ...

using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership : Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting ...

Document development processes, maintain model and Agent records, and ensure compliance with security and regulatory standards. About You Qualifications in Computer Science, Data Science, Statistics, or a related field. Strong understanding of Copilot Chat and AI Agents, including deployment and maintenance. Proven experience developing and deploying AI models ...

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). ...

this job advert for full details on the role. Person Specification Qualifications Essential Master's degree (or equivalent experience) in a numerate discipline (e.g., statistics, data science, health informatics) Evidence of continuous professional development Desirable Project Management qualification (Agile, PRINCE2, APM) Membership of professional body (e.g., Government Statistical Service ...

with the ability to translate data insights into actionable business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining ...

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. ...

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 ...

Knowledge/experience in Machine Learning, Artificial Intelligence, or Data Science A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Data Science, Mathematics, Statistics, Artificial Intelligence or similar Strong programming skills in Python Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn Experience working with large ...

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 ...

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 ...

Tableau, cloud platforms (ideally DataBricks), Git, and other analytics tools that support collaborative development and efficient data pipelines. Relevant degree or equivalent (e.g. statistics, mathematics etc). Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants. ...

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 ...