176 to 200 of 716 Statistics Jobs in the UK

and presentation skills with the ability to articulate complex technical concepts to diverse audiences, including non-technical stakeholders and senior leadership. Educational Background : Degree in Data Science, Computer Science, Statistics, AI/ML, or related field. Benefits: Private Health Insurance : Comprehensive coverage for both physical and mental health. Flexible and Remote-First Work Environment : Choose how and where you work More ❯

concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problemsPreferred qualifications, capabilities , and skills:Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test developmentKnowledge in search/ranking, Reinforcement Learning or Meta LearningExperience with A/B experimentation and More ❯

Translate complex sensor data into clear findings for internal use and product development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). Candidates with a BSc and strong production experience will also be considered. Experience delivering data science or data engineering solutions into production. You're comfortable writing production-grade code More ❯

UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

both operational and data stakeholders in a timely and concise manner. This role will be a great fit if: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience in Data Analytics. 5+ years of experience in a data analyst or similar role, ideally with experience working within operational or customer-facing teams. Advanced More ❯

organization. Drive root cause analysis and opportunity sizing to surface the highest-value areas for investment or process improvement. What you'll bring: BS or MS in Data Science, Statistics, Computer Science, or a related field 5+ years of experience in data science or analytics, with demonstrated work on operations-focused projects. Hands-on experience with AI tooling and prototyping More ❯

and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in Computer Science, Statistics, Data Science or equivalent Experience building and commercialising ML models Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionisation and feedback More ❯

of the business - Marketing, Operations, Customer service. The Chief Data Scientist will also be tasked with using Data to enrich the Customer experience. Chief Data Scientist Experience Required : - Strong Statistics/Maths/Econometrics Background - RDBMS/SQL experience - Strong Msc or PhD Background Any experience in the following is Nice to have : - SAS, SPSS, R Apply now for the More ❯

and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data More ❯

and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data More ❯

ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An More ❯

Apply data science expertise to solve real-world digital marketing challenges, driving smarter budget allocation and measurable outcomes for clients. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong More ❯

Apply data science expertise to solve real-world digital marketing challenges, driving smarter budget allocation and measurable outcomes for clients. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong More ❯

emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯

emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯

emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯

needs. Deliver insight into changes within the customer base through internal and external data sources. What We’re Looking For Degree in a quantitative discipline with significant coursework in statistics, econometrics, or a related field. Experience with numerical programming (Python, R, SAS) and database programming (SQL Server, Azure SQL, SAS). Experience using customer feedback tools (e.g., Rant & Rave, Medallia More ❯

will get to work with data sets drawn from a wide variety of internal and external sources; including operational, customer and environmental data. You will apply your knowledge of statistics to business challenges and work together with colleagues to ensure that the results of your work are well understood and put to good use. Using your data analysis skills, you More ❯

Participate in projects focused on budgeting, forecasting, and performance tracking. Continually improve your analytical skills with mentorship and access to the latest tools. Qualifications: Degree in Finance, Economics, Mathematics, Statistics , or similar. Foundational understanding of data analysis and a clear interest in financial analytics. Excel proficiency is essential; familiarity with SQL, Python, or R is a plus. Strong numerical and More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data integrity and quality; Requirements Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or other STEM related field; Extensive experience working with large, unstructured datasets and ideating unique features; Knowledge of general finance and company fundamentals; 3+ years in a More ❯

everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience,credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R More ❯