1 to 25 of 74 Statistics Jobs in the South East

and approaches adopted by the Team Job requirements Knowledge, Skills and Experience: MEng/MSc or PhD degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, or a related discipline Proven experience in data analysis, statistical modelling, and machine learning techniques. Previous experience in Aerodynamic Performance, Software and/or Vehicle Modelling is advantageous Proficiency in More ❯

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 ❯

turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical More ❯

turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical 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 ❯

platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is a plus Home-based Excellent benefits £50000 - 55000 Salary Please send a copy of your CV if you meet the requirements and are More ❯

agile and collaborative project delivery Familiarity with data visualisation tools (e.g. Tableau) Exposure to model monitoring and MLOps practices MSc or equivalent in a quantitative discipline (e.g. Data Science, Statistics, Computer Science) *Rates depend on experience and client requirements 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 ❯

processes and methodologies, sharing knowledge and expertise with team members to foster a culture of learning and collaboration. What We're Looking For Bachelor's degree or equivalent in Statistics, Data Science, Physical Sciences, Biomechanics, Computer Science, Mathematics, or a similar related field. Knowledge of sports rules, strategies, and basic statistical concepts. Proficiency in programming languages such as Python (Preferred 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 ❯

can then make data driven decisions upon. The successful candidate will be able to demonstrate: A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.) That you live in commuting distance to Newport Pagnell 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your More ❯

development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL 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 ❯

whole Identify and recommend opportunities for cost efficiencies Monitor and audit data quality Required qualifications/Profile Degree qualification or equivalent in a relevant field such as mathematics, economics, statistics or computer engineering In depth knowledge of statistical methodologies and data analysis techniques A strong understanding of data sources, data organisation and storage Knowledge of relevant relational databases such as 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 ❯

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 ❯

and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines 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 ❯

and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D More ❯

controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What We’re Looking For: Degree (graduate or postgraduate) in Statistics , Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data More ❯

customer experiences. You thrive in 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, Ability to deliver projects on time, taking project briefs 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 ❯

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 ❯

and performance evaluation. - Present findings to technical and non-technical stakeholders. - Contribute to long-term pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master's with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently More ❯