51 to 75 of 138 Statistics Jobs in the UK

and compliance through accurate data analysis Identifying opportunities for process automation and efficiency improvements Experience and skills required: Data analysis experience Preferably a degree in the following subjects: Mathematics, Statistics, Actuarial Science, or related field Advanced Excel skills SQL experience Knowledge of BI tools, e.g. Power BI, SAP Business Objects, would be advantageous The ability to present complex data in More ❯

programming Desirable: - Experience with software-hardware integration or working with embedded systems - Familiarity with computer networking concepts - Experience using deep-learning frameworks (e.g., TensorFlow, PyTorch) - Understanding of machine learning, statistics, optimisation or algorithm development - Experience developing mobile applications (iOS/Android) Please contact us as soon as possible for more details or apply below More ❯

terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to live and work in the UK without sponsorship Ability to be on site in Basingstoke The Next Steps If this sounds like you More ❯

Fintech or Banking technology sectors. Customer facing experience (proven ability to lead sessions) Strong written and verbal communication skills are essential Experience with Data Mining/designing analytical models Statistics/data modeling/analytical background Experience writing detailed specifications Team oriented and yet able to work independently Able to thrive in a fast-paced environment and learn quickly Ability More ❯

and interpersonal skills, to work closely with others in the team and the departments that you will support. A degree or equivalent in an analytical discipline such as Mathematics, Statistics, or equivalent practical experience would be advantageous. This is a great opportunity to develop your expertise, working on high profile priorities as part of a dynamic and supportive professional team. More ❯

consumer or marketplace environments. Experience developing analytics, machine learning, and AI solutions for CRM and personalization, including propensity, churn, LTV/CLV, uplift, or recommendation models. Strong experimentation and statistics skills, including test design, sample sizing, variance reduction techniques, and causal inference. Proficiency in SQL and Python for data wrangling, modeling, and automation, with familiarity in data warehouses and version More ❯

proven client-facing experience. Strong quantitative and analytical skills, with experience in marketing mix modeling, multi-touch attribution, customer segmentation, or identity/data management platforms. A degree in Statistics, Data Science, Marketing Analytics, or a related field. Excellent communication skills, with the ability to simplify complex data into actionable insights for diverse audiences. Proficiency in Excel and PowerPoint; familiarity More ❯

vision and the roles on offer are part of the Data & Technology Directorate within DfE. As a directorate, we provide a full range of data sourcing, management, governance, sharing, statistics, and visualisation capabilities and products to users across DfE, the education sector, cross-government, and citizens. We're seeking highly capable Data Engineers to help us achieve our vision. We More ❯

data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform More ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯

knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates and experienced engineers with strong problem-solving skills and a desire to learn. More ❯

Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the next step in your career More ❯

Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the next step in your career More ❯

Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready to take the next step in your career More ❯

collaborating across regions or international offices; familiarity with Japanese business culture a distinct advantage. Experienced in preparing management reports, dashboards, and presentations for senior stakeholders Degree in Business, Economics, Statistics, or a related discipline (Master's or professional qualification advantageous) Video games industry knowledge and interest in market and product dynamics Business level fluency in both English and Japanese ** All More ❯

quantum error correction, or theoretical physics. A research profile that connects machine learning with quantum science or computation. A passion for accelerating science with AI. Quantitative skills in mathematics, statistics, and/or theoretical physics. In addition, the following would be an advantage: Experience with modern deep learning methods, e.g. generative AI. Experience with or an interest in automated proof More ❯

systems, ensuring accuracy and compliance. Manage system configuration, user setup, testing, documentation, and change control. Validate and maintain data accuracy across all HR system touchpoints. Produce reports, dashboards, and statistics to support informed decision-making. Act as the first point of contact for HR system users, providing support and training. Identify and recommend system enhancements to improve service delivery. Always More ❯

testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but not More ❯

fermentation is highly desired. Excellent problem solving skills. The ability to work with cross-functional teams at multi levels within the organization. A strong background in data analysis and statistics is strongly preferred. Excellent interpersonal, communication skills In Kerry we know that sometimes the perfect candidate doesnt exist, and people can be put off applying for a role if they More ❯

ensure they understand the analyses and to provide explanation and interpretation for any areas of uncertainty. Providing expert advice and support to staff on the use of information and statistics made available to them and to communicate highly complex statistical/analytical information to non-statistical/analytical staff in a user-friendly manner. To provide specialist support with the More ❯

the data. Setting odds. Communicating regularly with major stakeholders. Qualifications MSc or BSc in Computer Science, Maths, Physics, Engineering or similar from a top UK University. Strong experience with statistics/mathematics/analytics. Good written/oral English. A keen interest in football and well-rounded knowledge of other major sports. A drive to succeed and take on responsibility. More ❯

IT operations. Strong knowledge of Linux, UNIX, virtualization, and containerization. Proficiency in Python, PHP, and web development. Familiarity with BI tools, Grafana, and data visualization. Background in data analysis, statistics, and mathematics. Experience in financial services IT environments is essential. More ❯

to maintain consistent and accurate data entry. Lead the development of data governance frameworks to ensure data quality across all programmes and services. Essential Criteria: Degree in Data Analytics, Statistics, Computer Science, Economics, Social Sciences, or a related field (or equivalent professional experience/certification). Significant experience in data analytics, business intelligence , or data management data , ideally within a More ❯