1 to 25 of 36 Statistics Jobs in the South East with Remote Work Options

data quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record 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 »

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 »

onsite and offsite campaigns across their growing media network. Skills and experience required: Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science). Previous analytical experience showing application of insight which address business questions. An advanced user of 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 »

platforms, reporting and data warehouses to ensure data is fit for purpose and optimied About you: Degree in related degree i.e. data science, mathematics, statistics, engineering etc 5 years experience working data-driven organisations Expertise in data modelling and forecasting techniques Skilled in data tools and technologies such as SQL 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 »

to deploy and improve the products. Participate in on-call rotation. Qualifications Bachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with 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 »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion 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 »

data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »

team-building abilities. Exceptional communication and interpersonal skills, with the ability to influence stakeholders at all levels. Advanced degree in Data Science, Computer Science, Statistics, Business, or a related field is preferred. Job Title: Chief Data Officer (CDO) Location: London - hybrid working more »

be involved with include, Full Body Inverse Kinematics, Motion Matching, Skeleton Retargeting, Data Pipeline and Compression, Events Editor, Real-Life Match Data 3D Viewer, Statistics and Generative AI. Collaborate with other disciplines, including animations, artists, QA, producers, and other engineering teams, on both development and future planning. Work closely with 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 »

years or more of experience in a product and/or quantitative finance related role Advanced degree in a quantitative field such as mathematics, statistics or quantitative finance. Knowledge of developer workflows and an understanding of financial products and analytics. Knowledge of Fixed Income products and Credit Derivatives is preferred. 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 »

Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »

team on vital and intricate aspects of our operations, assuming responsibility for specific areas from the outset. Technical skills An advanced degree in mathematics, statistics, physics, computer science Frontend programming (React, Angular etc...) Backend programming skills in Python (and Rust preferred) Strong familiarity with concurrency and OOP Comfortable working with 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 »

Team Our employee base represents the consumers we serve, and we are committed to ensuring that diversity is represented across our entire organization. Key statistics and notable awards include: employees are 75% female and 40% diverse representing the consumers we serve. are a leader in board diversity. We are 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 »