26 to 50 of 521 Statistics Jobs in the UK excluding London

analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Solid grasp of statistics, experimentation design, and causal inference techniques. Excellent communication and stakeholder management skills—able to influence and align diverse teams. Demonstrated team leadership or people management More ❯

techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience with SQL for data manipulation and querying. Experience in creating dashboard reports to visualize data insights. Knowledge of visualization tools More ❯

love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and working with large, messy, complex data sets More ❯

promote a data-driven culture. Guide teams within the AECO organization on process improvement best practices. Skills & Experience: Bachelor's degree in Business Administration, Statistics, Computer Science, or related field. Proven experience as a Data or Business Analyst, with stakeholder management skills. Experience in sales or marketing analytics. Working knowledge More ❯

impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating a range of machine learning More ❯

field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or More ❯

metrics and insights. What you'll bring with you/What the role needs: Bachelor's degree in information systems, Data Analytics and Mining, Statistics, Physics/Engineering, Computer Science or a related field. Prior experience, either short-term or up to a year, in a role similar to product More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms 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 ❯

working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst). 3 years experience in data analytics or business intelligence, preferably within a finance function. More ❯

love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and working with large, messy, complex data sets More ❯

impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating a range of machine learning More ❯

in valuable areas for the business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript More ❯

stay current with changes in core practices, frameworks, and tools. Investigate and resolve reported issues. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field OR equivalent learning and experience. 4+ years experience implementing AI/ML products or advanced degrees. Experience with one or more More ❯

and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a More ❯

a brief statement of interests and CV. Your skills and attributes for success: Degree in a relevant field (e.g. mathematics, data science, artificial intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. More ❯

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 ❯

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 ❯

and drive their implementation. Ability to successfully build relationships with clients and stakeholders. Mastery of problem solving and solutioning. Proven history and background in statistics/mathematics/macroeconomics. What's in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire More ❯

problems into data, model and decisioning ecosystems, articulating clearly to business leaders how these assets fit together and address their problem. Advanced knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods). Advanced knowledge of ML techniques (in both a supervised and unsupervised 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 ❯

understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate complex models into actionable business insights. More ❯

Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good 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 and More ❯