1 to 25 of 120 Statistics Jobs in the North of England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

up to date with industry trends and best practices in data analytics and subscription business models. Skills & Qualifications Bachelor’s degree in data science, Statistics, Mathematics, Business Analytics, or a related field. 2+ years of experience in a data analytics role Proficiency in SQL for data querying and manipulation. Experience 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 ❯

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 ❯

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 ❯

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 ❯

Microsoft Power BI, SQL certification). Evidence of continuing professional development (e.g., courses in leadership, management, or technical expertise related to Data Science/Statistics). Desirable Postgraduate degree in Healthcare Data Management, Analytics, or a related discipline. Experience Essential Experience as a Senior Manager within an NHS organisation in 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 ❯

expenses fully paid). About you: You are degree educated, having achieved a 2.1 or above in a relevant discipline, e.g. Data Science, Mathematics, Statistics, Physics, Computer Science, Informatics or Engineering You have strong experience with analytics and data manipulation software e.g. R, Python, PySpark, SAS, SQL, SPSS You take More ❯

expenses fully paid). About you: You are degree educated, having achieved a 2.1 or above in a relevant discipline, e.g. Data Science, Mathematics, Statistics, Physics, Computer Science, Informatics or Engineering You have strong experience with analytics and data manipulation software e.g. R, Python, PySpark, SAS, SQL, SPSS You take More ❯

Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based solutions in production is an advantage. Experience with SQL More ❯

and maintain analytical tools and dashboards Participate in process improvement initiatives Qualifications 2:1 or above degree in one of the following: Data Science, Statistics, Mathematics, or a related analytical field Strong numerical and analytical abilities Experience with coding languages Valid UK driving license Problem-solving mindset Ability to explain More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

appealing and understandable manner and compile and present detailed reports. What you'll be able to offer Educated in the subject of either Mathematics, Statistics, Information Communications Technology, Computer Science or Economics. Hold a qualification in a relevant professional qualification/certificate in Data Science or Data Analytics or willingness More ❯