1 to 25 of 60 Statistics Jobs in the South East

/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or Computer Science. Masters degree or relevant professional certifications are a plus. Why Join Us? Opportunity to influence commercial strategy and decision-making at a high More ❯

data visualization techniques.- Excellent problem-solving skills and attention to detail.- Ability to communicate complex technical concepts to non-technical audiences.- Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field. More ❯

to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. More ❯

do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial More ❯

and experimentation. Enjoy autonomy, ownership, and creative freedom-your ideas will have visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in More ❯

data solutions, data modelling, understand the ETL pipelines and dashboard tools Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data More ❯

space (preferably in a consulting context) with at least 2 years at a senior leadership level University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent. Proven track record in winning and delivering large, complex, data-led engagements. Demonstrable ability to own client relationships, originate work, and grow revenue. Deep understanding of the full More ❯

development process Adhere to the Forces' Programme and project Governance requirements. Ensure AI adheres to the current guidance from the Information Commissioner's Office. Skills & Experience A degree in statistics, mathematics or a statistically-related discipline Demonstrate work experience with Microsoft Fabric, Mulesoft, BI Developer or Data Scientist Strong data modelling background with experience working with multiple data sources both More ❯

and results to both technical, and business audiences Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal Ability to develop and debug More ❯

and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python. Familiar More ❯

and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python. Familiar 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, Able to work independently and efficiently to deliver projects More ❯

application The Recruiter assess your application against the minimum requirements The Recruiter will have a chat with your current line manager about your: Suitability for role Job performance Absence statistics Behaviour and Conduct The Recruiter will book in a video call with you to discuss your application and suitability You will attend an interview with the Hiring Manager The Recruiter More ❯

such as financial services, insurance, and operations optimization. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Responsibilities: Contribute to the development of predictive and … fast-paced, evolving environments. Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in … Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science/ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar). Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research or applied work at meetups, workshops, or industry conferences. Familiarity with vector databases More ❯

with data visualization software packages, e.g., Looker, Power BI, Tableau Familiarity with SQL and similar database tools for querying complex data sets. A B.A./B.S. in STEM, Mathematics, Statistics, Economics, Computer Science, or Engineering Sciences 3+ years of experience in related fields This is a 12 month fixed term contract. We would hopefully be able to make this role More ❯

Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and 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 finding creative solutions Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in More ❯

in best practice analytics, data management, and storytelling - raising the bar for analytics maturity across the team. Qualifications Bachelor's degree, preferably in an analytical field (mathematics, economics, engineering, statistics, or related). Minimum 5 years' hands on experience in an analytics role, with a proven track record of delivering measurable impact in a data driven customer service or operations More ❯

and elasticity is essential. High quality numerate degree (Mathematics, Data Science, Physics, Engineering etc.). Degrees from other disciplines will be considered with relevant industry experience. An understanding of statistics and machine learning best practices. Competent using Python and its data science ecosystem for data manipulation, data visualization and statistical modelling. Excellent data manipulation and reporting skills using SQL and More ❯

management, and storytelling-raising the bar for analytics maturity across the team. What You'll Bring: Essential Requirements: Bachelor's degree, preferably in an analytical field (mathematics, economics, engineering, statistics, or related) Minimum 5 years' hands-on experience in an analytics role, with a proven track record of delivering measurable impact in a data-driven customer service or operations environment More ❯

hour windows, 2–3 times per week) to review trading simulations, debug models, and exchange quantitative and technical insights. Requirements Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or Quantitative Trading. Deep understanding of market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis. Proficiency in one or more programming languages commonly used More ❯

senior analysts to refine reports and ensure accuracy and relevance. Presenting findings in meetings, webinars, or workshops as needed. Key Skills and experience: Bachelor’s degree in business, economics, statistics, marketing, or a related field. Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Excellent written More ❯

and compliance through accurate data analysis Identifying opportunities for process automation and efficiency improvements Experience and skills required: Data analysis experience Preferably a degree in the following subjects: Mathematics, Statistics, Actuarial Science, or related field Advanced Excel skills SQL experience Knowledge of BI tools, e.g. Power BI, SAP Business Objects, would be advantageous The ability to present complex data in More ❯

terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to live and work in the UK without sponsorship Ability to be on site in Basingstoke The Next Steps If this sounds like you More ❯