1 to 25 of 58 Statistics Jobs in the North of England

implementation and optimization of data analysis tools and processes. Present findings and insights to stakeholders in a clear and concise manner. Experience and Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL or Python. Power BI experience More ❯

organisation on process improvement best practices to ensure proper implementation and sustainability What Skills & Experience You Should Bring: Bachelor's degree in a relevant field such as Business Administration, Statistics, Computer Science, or a related discipline Proven work experience as a Data Analyst, Business Analyst, or similar role, with a focus on data analysis and stakeholder management Prior experience in More ❯

custom algorithms Translate real-world pricing problems into mathematical and statistical frameworks Work independently and contribute to a culture of intellectual rigor and curiosity Ideal Profile PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science More ❯

a network of emerging talent through our EVRi Emerging Talent Development programme. What you'll need to become aData Analytics Graduate: A minimum 2:1 degree in Data Science, Statistics, Computer Science, Maths, or a related field. Familiarity with data analysis coding languages like Python, R, or SQL. A keen interest in learning visualisation tools such as Tableau or PowerBI. More ❯

thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes More ❯

product innovation. Commit to continuous enhancement of data analytics skills, staying abreast of the latest industry tools and practices. Desired Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other More ❯

qualifications in Business Intelligence tools (e.g., Microsoft Power BI, SQL certification) Evidence of continuing professional development (e.g., courses in leadership, management, or technical expertise related to Data Science/Statistics) Knowledge Essential Detailed knowledge of healthcare data and how to navigate healthcare data to provide answers to support key operational planning decisions Sound knowledge base of the NHS, the current More ❯

will get to work with data sets drawn from a wide variety of internal and external sources; including operational, customer and environmental data. You will apply your knowledge of statistics to business challenges and work together with colleagues to ensure that the results of your work are well understood and put to good use. Using your data analysis skills, you More ❯

GLMs, GAMs, Decision Trees, Random 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

GLMs, GAMs, Decision Trees, Random 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

GLMs, GAMs, Decision Trees, Random 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

qualifications in Business Intelligence tools (e.g., Microsoft Power BI, SQL certification) Evidence of continuing professional development (e.g., courses in leadership, management, or technical expertise related to Data Science/Statistics) Knowledge Essential Detailed knowledge of healthcare data and how to navigate healthcare data to provide answers to support key operational planning decisions Sound knowledge base of the NHS, the current More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

you We're looking for someone who is naturally curious, analytical, and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk More ❯

a multidisciplinary team, with potentially difficult dynamics, and be an advocate for the team externally to can manage differing perspectives. Excellent analytical, IT Keyboard and numerical skills - confident with statistics and their presentation. Excellent verbal and written communication (including presentation) skills. Ability to analyse highly complex issues where material is conflicting and drawn from multiple sources (verbal, written and numerical More ❯

the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never 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 ❯

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 ❯

of Health, NHS Digital, NHS England and Commissioners are met. About us Within Digital and Data Services the Business Intelligence and Reporting section includes delivery, operations, development and research, statistics and clinical outcomes. This means that there is a wide range of skills across the section and ample opportunity for development which is encouraged and supported. Job description Job responsibilities More ❯

process improvement projects to increase operational efficiency and also handling daily production support issues in a timely and efficient manner. Essential Skills & Experience: Bachelor's or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field. Comfortable working with data and presenting detailed analytical reports/presentations to audiences of varying technical knowledge. Proficiency in Microsoft More ❯

Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant work/project experience in Machine Learning, AI, Data Science, Applied Statistics, Computer Science. This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry. Based More ❯

CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯

CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We 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 ❯

team to solve complex problems Your profile: Must Have 2:1 or above in Maths, Business, Accountancy & Finance or Economics Experience of querying databases (Ideally SQL). Knowledge of statistics and experience using statistical packages for analysing datasets (Ideally SPSS Modeller). Advanced Microsoft Excel experience Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts More ❯