1 to 25 of 101 Statistics Jobs in England with Remote Work Options

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 »

up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and visualisation more »

Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency more »

Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency more »

Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency 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 »

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 »

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 »

accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you take more »

record of senior stakeholder management, with high quality communication and influencing skills Have a PhD, MSc or strong quantitative degree ideally from a Mathematics, Statistics, Computer Science or related subject Our Customer First behaviours are all about putting customers and members at the heart of how we work together. You 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 »

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 »

experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »

and advanced knowledge of Excel; Python/R experience desired but not essential Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or similar) Methodical, logical approach with a commercial aptitude Additional requirements: Where possible this will be done in more »

resident, citizen or Visa that allows you to work in the UK Degree educated with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics) 5 years+ experience in a Business Analyst role Experience in using LEAN, AGILE and PRINCE2 methodologies Previous experience of delivering value from change management Experience more »

model to mitigate the risk Create and maintain a central repository of member insights, sharing key messages from the analysis Provide accurate insight and statistics for inclusion in reports and presentations Conduct regular reviews with the broader team to discuss insight requirements and needs Identify opportunities to improve the performance 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 »

complex findings to technical and non-technical audiences through compelling presentations. You are a perfect fit if you have: 🎓 A degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related field (or equivalent experience). 💻 Strong programming skills in Python (NumPy, Pandas), SQL, and Excel. 🧩 Excellent analytical and 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 »