1 to 18 of 18 Statistics Jobs in the South East 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 »

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 »

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 »

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 »

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 »

working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently more »

etc) An eagerness to learn how to use new systems and analytics tools A problem-solving mindset Nice to have: Qualifications in Computer Science, Statistics or other Data disciplines would be useful but are not a requirement Benefits: In addition to a competitive salary, we offer a range of benefits more »

Access to free perks and discounts through Perkbox Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced more »

take charge of our cloud-based data analytics stack. Lead Data Engineer/ML - About You: Top academics in a relevant field (Computer Science, Statistics, Mathematics) Strong command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable more »

Contractor Management, Incident Reporting, and CAFM systems Ensure data integrity and security in collaboration with IT departments Generate and analyse monthly health and safety statistics for management and board reports About You Wed love you to have the following skills and experience, but please apply if you think youd be more »

to secure reimbursement. In total, the IGES Group employs more than 200 experts from the fields of medicine, economics, natural and social sciences, pharmacy, statistics and informatics. Today, the IGES Group comprises 14 companies at locations in Germany, the United Kingdom, France, Sweden and Switzerland. To strengthen and complement our more »

Quality Assurance: Conduct thorough reviews and edits of draft proposals to ensure accuracy, consistency, and alignment with company messaging and branding guidelines. Verify data, statistics, and references to maintain credibility and professionalism in bid submissions. Implement feedback from internal stakeholders and incorporate lessons learned from previous bids to continuously improve more »

organisation and administration of management meetings. Track action points and ensure timely follow-up. Record Keeping: Maintain various records, databases, and dashboards for team statistics (locations, roles, etc.) Approval Monitoring: Monitor approvals for various processes (Shopping Carts, etc.). Vendor Interaction: Interact with vendors and external partners as required. Support more »

and headcount reporting for the UK division * Authorise financial transactions and comply with EU VAT regulations * Complete statistical returns for the Office for National Statistics (ONS) * Support budgeting, forecasting, and cashflow management activities * Prepare audit documentation and manage intercompany transactions * Execute ad-hoc tasks to support the Head of Finance more »

Information System Manage Data flow and reporting capabilities, support Governance for Assessment processes Link Assessment to Mentoring topics Requirements: Psychological background- MA in Psychology, Statistics or Data management, or HR Desired: Work experience at a psychological assessment company, or in-house role Previous work experience in the development and design more »

This role pays £22p/hr (DOE) and operating via an Umbrella Co. Overview You will work at the heart of the transformation of statistics, using your skills as a data scientist to harness insight from a diverse range of data sources. Most of their roles focus on the development … design documents. This includes writing documentation, designing and conducting tests, reviewing and managing versions of code. Work with subject matter experts to understand the statistics that need to be produced and the statistical methods that underpin them. Conduct data analysis and visualization of the key datasets used to ensure high … Agile or Waterfall methodologies. Experience building scalable data products for a range of users in technology (e.g Big data). Experience using applied maths, statistics and scientific practices. Experience developing data science capabilities. Data engineering and manipulation. If this sounds like the role for you, please get in touch for more »

Senior Engineering Data Analyst Fantastic opportunity for an Engineer with a keen interest in data analysis and working with statistics. Flexible working hours/Hybrid working. A rare opportunity has arisen to work within an organisation that develops cutting edge more »

sources to support HTA decision-making Mentoring junior colleagues Contributing to internal training initiatives, process improvement and business development Your profile: A passion for statistics University degree in Statistics/Biostatistics or equivalent knowledge/expertise with proven industrial experience Knowledge of HTA-related statistical methods, including ITC, NMA, and more »