1 to 25 of 76 Statistics Jobs in the South East

peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive More ❯

solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. Master’s degree preferred. Why QBE? At My Best? At QBE, we want our people to feel rewarded and inspired More ❯

Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech More ❯

the product, marketing, and engineering teams to turn insights into product features and campaigns. Preferred Qualifications for the Data Scientist: Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required. Master’s degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer More ❯

to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯

support marketing initiatives. Stay updated on industry trends and best practises to continuously enhance our data capabilities. What You Bring: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analysis, preferably in marketing, advertising, or public relations. Proficiency in programming languages including Python and R, along with SQL. Strong understanding More ❯

based, or you can work from one of the company's offices across the UK. What you'll need to succeed PhD (or Master's with substantial experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus (or equivalent experience) Demonstrated ability to create and validate new statistical/analytical models More ❯

infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving More ❯

live trading environments. Continuously research market microstructure and dynamics to refine and improve current approaches. Requirements: Completed PhD in a highly quantitative field (e.g., Mathematics, Physics, Computer Science, Engineering, Statistics). Strong programming skills in C++ (Python experience is a plus). Solid background in data analysis, statistical modeling, and numerical methods. Proven ability to work with large datasets and More ❯

Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data More ❯

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

various business departments and provide venue specific customer insights that contribute to strategic decision-making. Qualifications Graduate and/or postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics but not exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the 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 ❯

to extract insights from data to inform policy decisions. Excellent written and verbal communication skills to present findings effectively. A degree in a relevant field such as data science, statistics, or economics. Knowledge of data governance and data security best practices. What's on Offer A competitive salary in the range of £43,000 to £50,000 per annum. Outstanding More ❯

production code (not required to develop) Legacy tooling in Perl/sh (can be learned on the job) Candidate Profile; PhD or Master's in a quantitative discipline (e.g. statistics, CS, physics, maths) Strong programming skills (Python, q/kdb+) and understanding of statistical methods 2+ years in electronic or algorithmic trading (equities preferred) Hands-on experience with execution logic More ❯

the exploration of new tool and approaches Share findings and insight effectively using structured narratives and visualisations Requirements: Experience in analytical work, working with primarily quantitative methods Degree in statistics, mathematics, economics or equivalent field Good skills in analytical tools, preferably PowerBI and Excel, SQL, Tableau, Python, R or equivalent Some experience in qualitative approaches including content, thematic and discourse More ❯

breakthroughs This is a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within More ❯

Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions. Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, Statistics, or Engineering, and 6+ years of experience in analytics—at least 2–4 years in a team management or senior stakeholder-facing role, ideally in a product operations context. Benefits More ❯

Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions. Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, Statistics, or Engineering, and 6+ years of experience in analytics—at least 2–4 years in a team management or senior stakeholder-facing role, ideally in a retail or commercial operations More ❯

Know how to do CI/CD with data products built on Databricks or Fabric Understand how to use Jira and Confluence Know the difference between descriptive and inferential statistics and when to use them Hold a valid PL-300 or Databricks Certified Data Analyst Associate Have previous experience in consulting or research experience About Creative Assembly Creative Assembly crafts More ❯

Know how to do CI/CD with data products built on Databricks or Fabric Understand how to use Jira and Confluence Know the difference between descriptive and inferential statistics and when to use them Hold a valid PL-300 or Databricks Certified Data Analyst Associate Have previous experience in consulting or research experience About Creative Assembly Creative Assembly crafts More ❯

on performance measurement, reporting automation, and dashboard development. Experience in operations, e-commerce, or service-oriented environments preferred. Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), preferred Masters Degree is a plus Tools: You will have knowledge of key industry tools, SQL, Tableau and Excel. Specifically for this role that would include: Advanced SQL: You More ❯

staff sponsored by their employers, and will range in experience/level (groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday More ❯

is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate or analytical subject (e.g. Maths, Statistics, Economics, Engineering). THE BENEFITS Salary up to £75,000. Remote-first policy (team gathers occasionally throughout the quarter). 25+ days holiday and excellent additional leave options. Strong focus More ❯

the opportunity to work across multiple departments and contribute directly to business-critical processes. About You We are looking for a recent graduate with: A degree in Economics, Mathematics, Statistics or a related discipline Excellent analytical skills with strong attention to detail High IT literacy, particularly with Excel; the ability to quickly learn new systems Strong organisational skills and the More ❯