16 of 16 Remote Statistics Jobs in the City of London

dashboards to communicate findings effectively Contribute to the automation and optimisation of analytical workflows What we’re looking for Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts More ❯

Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and non-technical stakeholders Lead More ❯

and transformer architectures to create intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether its Tableau, Power BI, or More ❯

PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics, or related field (Master’s preferred). Why Apply: Work on high-impact projects with leading organisations. Access to cutting-edge technologies and platforms. Opportunities for career growth and professional More ❯

/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus. • English is the working More ❯

extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be desirable Please see attached Job Description and Person Specification for further details. About Us: Victim Support (VS) is More ❯

adoption internally and contribute to a GenAI champions group. Own and improve deal origination processes and models . What we’re looking for Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field . Strong hands-on analytics experience , including working with millions of rows of data . 3+ years of demonstrable proficiency in SQL, Python, and Power BI More ❯

Pricing Analyst: A* or A grades in Mathematics and other numerate A-levels. 2’1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder More ❯

and CD, testing and observability. What you will bring 1 plus years in a data engineering or platform role, Demonstrable experience with DevOps workflows, An excellent STEM degree, Mathematics, Statistics, Computer Science, Engineering, or similar, Curiosity, pragmatism, and a bias to ship. This is ideal for someone early in their data engineering journey who wants real exposure to AI, automation More ❯

to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. More ❯

you... Educated to undergraduate level with a preference for top-tier universities. Keen to see candidates with a degree in Risk Management, Risk Management and Insurance, Business Administration, Economics, Statistics, Engineering, Law, or other related fields Desirable to have a relevant MSc or MBA. Ideal candidates will have at least 5 years’ experience in professional services/consulting firm/ More ❯

systems. Translate emerging research into practical, deployable prototypes. What we’re looking for: Strong Python skills, with experience in PyTorch, TensorFlow, scikit-learn, and LLM frameworks Solid grounding in statistics, probability, and machine learning fundamentals. Experience with cloud (AWS/GCP/Azure), Docker, and API development What our client offers: Up to £75,000 salary Hybrid working in London More ❯

second. The company is made up of some of the very best software developers and mathematicians. Each brings their unique perspective from their backgrounds in computer science, physics, mathematics, statistics and engineering. Essential Skills 6+ years commercial experience in software engineering. Demonstrable experience building high-quality and scalable digital products and features. Strong project management and communication skills with the More ❯

substantial experience in MuleSoft integration development (often 5+ years), but we welcome applicants with a range of backgrounds and relevant skills. Degree in a relevant field (e.g. Computer Science, Statistics) or equivalent practical experience. Eligible for SC clearance (requires 5 years’ residency in the UK; citizenship is not mandatory). Able to adapt to changing priorities and client needs. More ❯

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback More ❯

with CRM and regional marketing teams to align with campaign goals Partner with engineering and data teams to ensure scalable solutions Requirements Extensive experience in data science, including applied statistics and machine learning Familiarity with supervised and unsupervised learning, NLP, neural networks, Bayesian statistics, time-series forecasting, collaborative filtering, and deep learning Proficiency in Python and ML libraries (e.g. pandas More ❯