1 to 25 of 49 Statistics Jobs in the South East

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 ❯

on technical depth in Python (or R), cloud platforms, and modern ML frameworks. Experience mentoring or leading small, high-performing teams. PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline. Recognized as a technical thought leader through publications, external talks, or open-source contributions. Preferred Experience: Experience using Palantir platforms (Foundry, AIP, Ontology) to 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 ❯

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 ❯

management abilities. Preferred Qualifications: Experience in alternative data usage for credit risk evaluation. Familiarity with Open Banking and fintech lending platforms. Bachelor's or Master's degree in Finance, Statistics, Mathematics, Economics, or a related field. Benefits Pension Plan Paid Time Off Work From Home Training & Development #LI-A More ❯

members, and may manage junior Data Scientists or graduates in the future. Who you are You hold a Master's degree in a data-relevant field such as Maths, Statistics, Data Science, Engineering or Psychology and have experience in data science in a commercial environment, and have demonstrated leadership in that role. With experience in relevant coding languages (Python or More ❯

expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with 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 ❯

continuous improvement. Main duties of the job oOversee the delivery of business intelligence and analytical services that support strategic decision-making across the Trust in key areas such as Statistics and Planning, Performance and Quality, Finance and Income Reporting, and Operational Efficiency.oEnsure the team produces accurate and insightful reports, dashboards, and data analyses using advanced BI tools (e.g., SQL, Power 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. Key Responsibilities: Contribute to the development of predictive … 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 ❯

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 ❯

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 ❯

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 ❯

Plan and document work methodically to ensure clarity. What We're Looking For Proven experience in a Data Analyst role. Degree in a quantitative field (e.g., STEM, Mathematics, Engineering, Statistics). Strong SQL skills. Solid Power BI experience with a focus on dashboard design and UX. Good DAX experience. Highly organised with excellent attention to detail. Strong communicator able to 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 ❯

consumer or marketplace environments. Experience developing analytics, machine learning, and AI solutions for CRM and personalization, including propensity, churn, LTV/CLV, uplift, or recommendation models. Strong experimentation and statistics skills, including test design, sample sizing, variance reduction techniques, and causal inference. Proficiency in SQL and Python for data wrangling, modeling, and automation, with familiarity in data warehouses and version More ❯

will be collected anonymously, in confidence and will not be seen by anyone directly involved in the hiring process, it will be stored separately and used only to provide statistics for monitoring purposes. There is no obligation on you to provide information. All applicants will be treated the same, whether or not they provide this information. #INDPREM More ❯

data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform More ❯

collaborating across regions or international offices; familiarity with Japanese business culture a distinct advantage. Experienced in preparing management reports, dashboards, and presentations for senior stakeholders Degree in Business, Economics, Statistics, or a related discipline (Master's or professional qualification advantageous) Video games industry knowledge and interest in market and product dynamics Business level fluency in both English and Japanese ** All More ❯

quantum error correction, or theoretical physics. A research profile that connects machine learning with quantum science or computation. A passion for accelerating science with AI. Quantitative skills in mathematics, statistics, and/or theoretical physics. In addition, the following would be an advantage: Experience with modern deep learning methods, e.g. generative AI. Experience with or an interest in automated proof More ❯

testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but not More ❯

Mercor is seeking Mathematics/Statistics Master's and PhD's (current or graduated) for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will More ❯

Analysis: Upload routine client data and generate essential standard reports using business intelligence tools for client stakeholders. Maintain Knowledge Systems: Update and maintain the database of national public sector statistics and the knowledgebase that supports the chatbot and large learning model functions. Provide Technical Administration: Accurately input and maintain data (including specifications and user accounts) and provide support for internal More ❯