1 to 25 of 210 Statistics Jobs in the UK

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, or SQL. Experience with machine learning techniques ...

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 ...

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 ...

dashboards enabling data-driven decisions. Mentor junior team members and advance analytical best practices. REQUIREMENTS Bachelor's in STEM field (Computer Science, Data Science, Statistics, Mathematics); advanced degree preferred. 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust & Safety, or related domains. Strong SQL proficiency ...

machine learning. • Strong knowledge of machine learning algorithms and principles. • Experience with data modeling and evaluation. • A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning; a Master's degree or Ph.D. is preferred. Preferred Skills • Familiarity with deep learning frameworks ...

intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether ...

tools, techniques, and industry trends Proactively raising risks, issues, or concerns with appropriate stakeholders Personal Profile Qualifications & Experience Essential Degree in Computer Science, Mathematics, Statistics, or a related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying ...

investigate behaviour, changes, or anomalies What You Bring Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar Strong grounding in statistics, probability, and time-series analysis Comfortable working in Python and analysing data programmatically Clear communicator — able to explain analysis simply and honestly Curious about ...

years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field Professional certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus What We Offer We believe in rewarding great work. ...

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 ...

analytical and problem-solving skills Ability to work independently and as part of a team Experience & Qualifications Degree/Higher education in Data Science, Statistics, Computer Science, or a related discipline Previous experience as a Data Analyst or in a similar role (preferred) Knowledge of data visualisation tools (e.g. Power ...

Delivery of next-generation investment management capabilities. Qualifications Required Bachelor’s degree in Finance, Economics, or a quantitative discipline (e.g., Computer Science, Applied Mathematics, Statistics). Proven leadership experience spanning investment and technology teams. Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI ...

peer knowledge exchange within the global data science community. Qualifications Your skills and qualifications: Education: Masters degree or higher in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field. Strategic Delivery: Proven experience working in an empirical research environment and partnering with Product teams to deliver and scale validated ...

Work closely with teams to gather requirements, provide insights, and support data interpretation. What We’re Looking For Degree in Data Science, Computer Science, Statistics, or equivalent experience. Proven experience as a Data Analyst or similar role. Strong Power BI skills, including DAX. Experience with Microsoft Fabric, SQL, data modelling ...

Strong problem-solving and critical thinking skills. Comfortable working in a fast-paced, project-based environment. Desirable: Degree in a relevant discipline (Data, Mathematics, Statistics, Business, Economics, Computer Science or similar). Professional data certifications (Power BI, Alteryx, SQL, DataCamp or equivalent). Experience producing dashboards and performance reports ...

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 ...

Azure/GCP) Analytical curiosity, attention to detail, and ability to question data quality Clear communication skills and confidence presenting findings Nice-to-haves: Statistics and experimentation (A/B, multivariate) Segmentation/modelling experience Exposure to marketing orchestration/ad-tech tools (Salesforce, Braze, Adobe, DSPs) Light data engineering ...

maximises the time used as part of off-the-job training Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant ...

role in a relevant industry. An interest in the field of Digitalisation and Technology Exposure to projects or coursework related to data analysis, statistics, machine learning or database management Exposure to languages and tools used in data analytics, such as Python, R, or SQL. Also, some exposure to Data Visualisation ...

making, enabling teams to adapt and improve based on the insights you deliver. Essential Degree-level education in a relevant subject (such as Mathematics, Statistics, Data Analytics, Computer Science, Physical Sciences) or equivalent professional experience within an engineering or automotive environment Strong Python expertise Experience applying machine learning techniques ...

role in a relevant industry. An interest in the field of Digitalisation and Technology Exposure to projects or coursework related to data analysis, statistics, machine learning or database management Exposure to languages and tools used in data analytics, such as Python, R, or SQL. Also, some exposure to Data Visualisation ...

role in a relevant industry. An interest in the field of Digitalisation and Technology Exposure to projects or coursework related to data analysis, statistics, machine learning or database management Exposure to languages and tools used in data analytics, such as Python, R, or SQL. Also, some exposure to Data Visualisation ...

integrating best practices to enhance the competitiveness and effectiveness of our AI solutions. Qualifications: PhD or master's degree in data science, Computer Science, Statistics, or a closely related discipline. Minimum 7 years' experience in data science and artificial intelligence, with a proven record of leading high-impact AI projects ...

love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations ...