1 to 25 of 39 Statistics Jobs in the North of England

track key performance indicators (KPIs). Work closely with data engineers to ensure data accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data More ❯

demonstrate continued performance and identify potential enhancements to the modelling suite. We need you to have Strong analytical skills with a good degree in a numerate discipline subject (e.g. statistics, engineering, econometrics) Familiarity of a wide variety of advanced machine learning and AI modelling techniques with some experience of applying them, ideally in a banking environment Experience of model development More ❯

roles, ideally with commercial or finance exposure Confidence working with senior stakeholders A curious mindset and proactive approach Experience with data visualisation tools (Power BI preferred) Solid understanding of statistics and how to apply it in context Nice to Have Familiarity with consumer data and campaign analytics If you’re ready to make an impact and help shape a data More ❯

KPIs) to track organisational success. Opportunity to develop through internal training programmes or approved external course. What experience do I need? Bachelor's degree in Business Analytics, Data Science, Statistics, or a related field. Database development skills (SQL, NoSQL, Progress, MariaDB, MongoDB). Knowledge of relational database concepts. Excellent communication skills, at all levels and experience with technical and non More ❯

Git/GitHub), command line, and IDEs software engineering practices : unit testing (e.g. pytest), code reviews, and general good practice in collaborative development applied data science : strong grounding in statistics and a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) experience building end-to-end LLM applications (prompt engineering, data models, API integration More ❯

high-quality service and building trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary More ❯

high-quality service and building trust Ability to manage multiple projects and priorities effectively in a fast-paced environment Education Qualification in a relevant field (e.g. Web Development, Marketing, Statistics, Business, Mathematics, Computer Science) would be preferable to have but not necessary More ❯

a strong understanding of the latest tracking trends, technologies, and best practices, and share knowledge with the team Qualifications Education: Bachelor's degree in a relevant field (e.g., Marketing, Statistics, Economics, Business, Mathematics, Computer Science) Experience: 2+ years of experience in a digital analytics role, preferably within a marketing agency Stronger candidates will have 5+ years of experience in a More ❯

principle. Excellent communication skills able to simplify complex analysis for any audience. Proven expertise in SQL, plus experience with Excel, Power BI or Tableau. Degree-level education in maths, statistics, economics, or similar. Experience with board reporting and senior stakeholder engagement. Experience within enforcement, compliance or other regulated services. (Desirable) Knowledge of case management systems, operational metrics, or tools like More ❯

principle. Excellent communication skills—able to simplify complex analysis for any audience. Proven expertise in SQL, plus experience with Excel, Power BI or Tableau. Degree-level education in maths, statistics, economics, or similar. Experience with board reporting and senior stakeholder engagement. Experience within enforcement, compliance or other regulated services. (Desirable) Knowledge of case management systems, operational metrics, or tools like More ❯

with the deployment of new technologies and explore new methods of analytics. Required Skills & Qualifications Recent graduate in a scientific or analytical subject such as Maths, Economics, Biology, Chemistry, Statistics, etc., with at least a 2:1 grade. A keen interest in data analytics/modelling and a desire to build a career in this field. Strong organisational and communication More ❯

for some of these model types would be an advantage. 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 written Behaviours: Good communication and More ❯

understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to 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 ❯

innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience More ❯

innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience More ❯

innovation. What do you need to apply? You'll need one of the following: Two A levels in a relevant subject (e.g. Computer Science, IT, Maths, Data Engineering, Analytics, Statistics) A Level 3 apprenticeship or qualification in a similar subject BTEC Extended Diploma or International Baccalaureate in a relevant field Experience with programming languages such as Python Equivalent work experience More ❯

continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. … for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development More ❯

of all customers. Manage the customer base to deliver top class account management with regular and timely review meetings Deliver presentations to a range of clients. Interpret business data, statistics, business intelligence and information in review meetings with clients to enabling them to better understand their business and markets. Design strategic account plans tailored to each client. Present each strategic More ❯

policies at all times. You'll be a great fit for the role if you have these skills: Analytical: You'll scrutinise large amounts of data where identifying important statistics and interpreting information is key Problem-Solving: You'll be required to tackle intricate problems which require critical thinking and creative solutions. Ability to find solutions and connect dots is More ❯

MIP), Annual Report, analysis of helpdesk and employee relations trends, support to cyclical activity including performance moderation, employee engagement survey etc. External - e.g. pay gap reporting, Office for National Statistics (ONS) surveys and Home Office reporting. Budget and supplier management Support the People Operations Manager and CPO with setting of People budgets and tracking of spend vs. budget and forecast. More ❯

years proven experience in an analytics role Previous experience in the betting and gaming industry is a significant plus Technical skills Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Proficiency in a statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in data analysis … or mathematical model development, with a strong understanding of statistics concepts such as multivariate testing Experience using code repositories, e.g. GitHub Experience with Amplitude a plus Non technical skills Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments Logical and analytical approach More ❯

of all customers. Manage the customer base to deliver top class account management with regular and timely review meetings Deliver presentations to a range of clients. Interpret business data, statistics, business intelligence and information in review meetings with clients to enabling them to better understand their business and markets. Design strategic account plans tailored to each client. Present each strategic More ❯

new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can lead, work independently as … team. Good communication and interpersonal skills for working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience More ❯