101 to 125 of 1,033 Statistics Jobs in the UK

and critical thinking skills. Exceptional time management and organizational skills to manage multiple deadlines. Ability to travel. Honors and/or advanced degree in Statistics, Economics, Mathematics, Computing, Business, or a related technical field. PREFERRED At least two years of hospitality or retail industry experience. BENEFITS As a full-time 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 ❯

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 ❯

Master's or PhD degree with a background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar. About the Graduate Program: As a graduate, you will establish a diverse and relevant career foundation-gaining insights into our business, exploring 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 ❯

identifying opportunities for improvement, anticipating challenges, and driving continuous innovation in investment strategies. Required Skills Bachelor's or Master's degree in Data Science, Statistics, Finance, or a related field. Proven experience in data science, statistical modelling, and forecasting within the investment or financial sector. Strong proficiency in programming languages More ❯

paced environment, delivering on multiple projects with tight deadlines, especially during key reporting periods. Bonus Points for: Educational background in Business Analytics, Engineering, Maths, Statistics, or similar quantitative discipline preferred. Direct experience working within a cloud based FP&A tool along with working with Hubspot and Xero. Understanding of databases More ❯

Thrive in a fast-paced, high-growth, rapidly changing technical environment Enthusiastic about emerging technology and Insurtech Desirable; Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team Ability to drive commercial outcomes using 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 ❯

of this project Key Capabilities Your background will ideally look like this University Degree (Bachelor's or Master's Degree) in fields such as Statistics, Mathematics, Computer Science, or Engineering. Business proficiency in English (B2 Level Minimum required). Excellent numerical and analytical skills. Deep understanding of statistical methods, data 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 ❯

results to a variety of internal stakeholders. What we expect from you Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. A PhD in any of these fields is especially beneficial. Experience with machine learning techniques such as … technologies. Experience in retail sector would be an added advantage. A plus if you also have: PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience in retail sector. What you can expect from us We won't just meet your expectations. 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 ❯

/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL More ❯

insights. Working knowledge of VBA, SQL, Python, R and/or Matlab. Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline. Strong quantitative and problem solving skills. Good communication skills, ability to deliver complex problems in a simplified way. Mason Blake acts as 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 ❯

science or analytics roles. Proficient in Python, SQL and data science tools. Comfortable working with time-series data and applying machine learning techniques. Strong statistics background and problem-solving abilities. Independent and self-motivated with excellent communication and collaboration skills. Telecom experience isn’t necessary - just bring your enthusiasm to More ❯

services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.). Experience with SQL, Power 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 ❯

and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and 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 ❯

provides guidance on best practices for applying generative AI responsibly and cost efficiently. BASIC QUALIFICATIONS - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. - Relevant experience in building large scale machine learning or deep learning models. - Experience communicating More ❯

contributions Communicate important developments and changes to area leadership and other stakeholders Who you are: Bachelor's degree in a quantitative field (Economics, Finance, Statistics, Mathematics, Computer Science, etc.) or equivalent experience Extensive analytical experience in Revenue, Sales, Operations, or Business Analytics Fluency in one or more programming languages, SQL More ❯