1 to 25 of 996 Statistics Jobs in the UK

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 ❯

machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for More ❯

machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for More ❯

applicable. Collaborate with the product team to integrate analytical insights into existing service offerings. Required Qualifications Master's degree in Business Analytics, Data Science, Statistics, or a related quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency 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 ❯

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 ❯

clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Core Qualifications: Master's degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning More ❯

or a related field, with a strong focus on dashboard development and visualization. Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, Finance, Economics, or a related field. Expert-level proficiency in Tableau: Extensive experience in developing, optimizing, and managing Tableau dashboards. Relevant certifications in More ❯

comprehensive listing of required activities, duties, or responsibilities. What you'll need Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. One (1) year of professional experience. Demonstrated performance in roles focused on AI, machine learning, and advanced analytics. Professional services experience More ❯

practices, and emerging technologies in data analysis and apply them to enhance our company's data capabilities. Qualifications: Bachelor's degree in computer science, Statistics, Mathematics, Economics, or related field. A master's degree is preferred but not required. Proven experience as a Data Analyst or similar role, preferably in More ❯

to-date with developments in the energy sector, environmental policies, and emerging trends in data analytics. Required Qualifications & Skills: A degree in Data Science, Statistics, Environmental Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data More ❯

or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology More ❯

need the ability to collaborate effectively with colleagues from various disciplines. Educationally , a Bachelor's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Engineering, or Operational Research is preferred. However, practical experience in data science roles may be considered in lieu of formal education. With 2+ years of 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. Recruitment Process: Pre-screen call with the Head of Data Science. Technical Python Task TEAMS Interview Present the Technical Task, competency, live 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 ❯

databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with relational databases. Knowledge of More ❯

the business to drive data-led decision-making. What We're Looking For: 3+ years of experience in data analytics. Degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in data visualisation tools (Power BI, Tableau, etc.). Experience in SQL and ERP systems. Strong financial modelling and 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 ❯

untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS More ❯

extract data, formulate metrics and build reports - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field - Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive More ❯

untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, R More ❯

array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS - MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field - Extensive experience in a data engineer or BIE role with a technology company. - Experience with statistical modelling/machine learning. - Coding More ❯

other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience in data science, Statistics or a related field. Proven experience in developing and implementing data science solutions to real world problems, preferably in a public sector. Good experience of More ❯

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯