1 to 25 of 128 Statistics Jobs in the UK with Remote Work Options

Ad Hoc Analysis: Conduct ad hoc analysis to support various business initiatives and projects. Qualifications: Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master’s degree is a plus. Experience: Minimum of 3 years of experience as a Data Analyst, preferably within the more »

Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional workdeserves even more exceptional rewards, that's why more »

with relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the more »

Contribute to the company’s knowledge base through publications, presentations, and participation in industry events. Experience required: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. 5+ years of experience in data science or a related field, preferably in the fintech industry. Proven track more »

data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis more »

data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis more »

Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »

A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data Desirable more »

By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such as more »

digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »

and non-technical stakeholders. Proven track record of driving business results through data-driven decision-making Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) Benefits : Pension Office has a good vibe and good communication, growing all the time. Holiday entitlement - 25 days plus public/ more »

management. Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven more »

Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics into executive-level reports and presentations and articulating their implications for business decisions. Exposure to using operational MI to achieve business targets and improve performance more »

you have a drive to learn and continually develop your skills and abilities • Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or similar) desirable • Comfortable identifying and raising issues, particularly where driving good outcomes for customers are concerned Additional more »

be comfortable delivering technical presentations Play a key role in a small team, leveraging your academic qualifications which will include - undergraduate degree in Mathematics, Statistics, Data Analytics, Insurance Risk Management or similar - CII certification - Python, SQL, R, Tableau, or similar visualisation tools Apply your understanding of, or experience working across more »

deployments, testing Support clients on analytics/transformations on time series/futures/options data Ideal Candidate Degree in quantitative/mathematics/statistics field Ideally have familiarity with data/analytics specific to energy, finance, insurance, commodities, FX or interest rates i.e. derivative contracts (futures/options), historical more »

the hands on aspect in conjunction with the long term management of the function. - Hold a relevant degree in one of Data & Analytics, Mathematics, Statistics, Computer Science or BI - Have detailed experience and knowledge in the creation, development, and maintenance of data repositories, data warehouses, data lakes, cloud platforms (ideally more »

the hands on aspect in conjunction with the long term management of the function. - Hold a relevant degree in one of Data & Analytics, Mathematics, Statistics, Computer Science or BI - Have detailed experience and knowledge in the creation, development, and maintenance of data repositories, data warehouses, data lakes, cloud platforms (ideally more »

risk modelling. A proactive and self-motivated attitude with a keen attention to detail. Desired Bachelor's degree in a quantitative field such as Statistics, Mathematics, Finance, or a related discipline. As a regulated firm, the successful candidate will be required to act within the standards expected by Consumer Duty more »

risk modelling. A proactive and self-motivated attitude with a keen attention to detail. Desired Bachelor's degree in a quantitative field such as Statistics, Mathematics, Finance, or a related discipline. As a regulated firm, the successful candidate will be required to act within the standards expected by Consumer Duty more »

passionate data community. What skills and experience will you have? A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Excellent written and more »

practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience Domain experience/demonstrable interest in economics-related fields Experience or familiarity with AI model evaluation techniques more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance of confidence more »