1 to 25 of 476 Statistics Jobs in the UK excluding London

Assistant Professor in Applied Statistics or Actuarial Data Science Job Description Directorate: School of Mathematical and Computer Sciences Contract Type: Full Time (1FTE), Open Ended Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full-time staff (Part time workers should pro rata this by … their FTE). Detailed Description The Department of Actuarial Mathematics and Statistics at Heriot-Watt University, Edinburgh, is seeking to enhance and expand its strengths in research and teaching in statistics by appointing two Assistant Professors in Applied Statistics or Actuarial Data Science. These are both open-ended positions. Applicants … are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical learning and/or actuarial statistics are particularly welcome to apply. Candidates who would like to work with the University's multi-disciplinary Global Research Institutes in the More ❯

to optimise processes, identify business opportunities, and deliver actionable recommendations to clients. You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. More ❯

e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines. Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special Recruitment Process: Pre More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

key business metrics. Stay current on the latest data science trends and technologies relevant to the industry. Qualifications: Master's degree in Business Analytics, Statistics, or a related field (or equivalent experience). 3+ years of experience applying data science techniques to solve business problems. Strong understanding of statistical concepts More ❯

LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with More ❯

We're excited if you have 3+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 3+ years of experience in consumer product, digital media or entertainment industries Expertise in SQL More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as 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 in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯

scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

recommendations. Data Management: Ensure the accuracy, integrity, and security of data used for analysis and reporting. Your Profile Bachelor's degree in Data Analytics, Statistics, Finance, or a related field. Advanced degree preferred. Proven experience in the financial crimes/AML space, with a minimum of 3-5 years in More ❯

and review modeling projects. Stay informed on emerging industry trends and best practices to enhance team capabilities. Education Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or More ❯

projects. -Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. QUALIFICATIONS Education: -Bachelors degree in data science, Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning More ❯

data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise More ❯

techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯

with advancements in AI, ML, and fintech applications, applying them to real-world financial problems. Skills & Experience Required An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid More ❯

or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency More ❯

Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯

finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor’s or Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven More ❯

further develop our sales analysts capabilities & support them to elevate their analytic skills & outputs locally. Who you are: Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. 8+ years experience in Business Intelligence, Visualisation Engineering or related Analytics Field. Experience working in or very closely More ❯

the team’s work Build domain understanding to improve model accuracy Provide guidance to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real 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 visualisation 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 visualisation More ❯