26 to 50 of 199 Statistics Jobs in the South East

compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯

engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning More ❯

forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience with Private Equity or Strategy Consultancy Strong communication skills, with the ability to work More ❯

firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong More ❯

in data , ML, AI and engineering. Experience Required: Educated to degree level in Data Science, Machine Learning, Physics, Chemistry, Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field. Proven experience in data science, analytics, AI or engineering fields. Proven track record of successfully delivering complex data projects, with demonstrable More ❯

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 More ❯

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 More ❯

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 More ❯

new programming languages and software tools. - Interest in, and awareness of, the data science technology landscape. - Interest and understanding of global trade, economics and statistics is also important. Salary Competitive (dependent on experience) plus bonus and benefits Location London/Midlands/Hybrid Number of vacancies 1-2 Start date More ❯

Machine Learning/Data Science. Working away at partner locations as required. WHAT YOU'LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or equivalent experience. A PhD/DPhil is highly valued but not essential. Experience with state-of-the-art ML libraries. More ❯

planning. Create data visualization dashboards, handle ad-hoc data requests, and independently complete analytical reports. Requirements Bachelor’s degree or above, preferably in Mathematics, Statistics, Computer Science, Information Management, or related fields. Proficient in English for professional communication; experience in internet-based international business is a plus. Familiar with data More ❯

deliver bespoke insight analysis and reporting in Tableau for regular KPI and performance data. ?Ideal Candidate Profile: Education: Bachelors degree in Data Science (preferred), Statistics, Finance, Business, or a related field. Experience: 23 years in data analysis/reporting. Technical Skills: Proficient in SQL, Excel, and reporting tools like Tableau More ❯

machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯

implementation of data management plans. Troubleshoot and resolve programming issues in a timely manner. Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field. Extensive experience in clinical data programming and Data Visualization. Strong experience with Python programming (PySpark, Databricks, pandas, Numpy) is More ❯

Process raw data and build a model to predict revenue (2-4 hours). A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving. More ❯

and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment bank. Essential Skills: Proven More ❯

perfect) in short sprints. Skills & experience required: Educated to at least degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and More ❯

in LLMs : Proven experience with Large Language Models (LLMs) and fine-tuning techniques. Education : Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field. Programming Proficiency : Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM More ❯

as a key contact for external vendors and partners to ensure alignment on standards and deliverables. Key Skills and Requirements: Bachelor's degree in Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred. Extensive experience in statistical programming within the pharmaceutical, biotechnology, or CRO industry. Advanced proficiency in SAS More ❯

Forests, Neural Nets and Clustering. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred. Proficient at communicating results in a concise manner both verbally More ❯

Forests, Neural Nets and Clustering. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred. Proficient at communicating results in a concise manner both verbally More ❯

well‑tested, version‑controlled code and transparent research notebooks. Qualifications Education: B.S. or M.S. in a quantitative field such as Mathematics, Computer Science, Engineering, Statistics, or Physics. Experience: Minimum 5 years building and deploying profitable algorithmic strategies at a hedge fund, bank, or proprietary trading firm. Programming: Advanced expertise in More ❯

quality standards and data security protocols within the team Essential skills/experience: Strong demonstrable experience in a relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients More ❯

non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisati... More ❯