1 to 25 of 1,169 Statistics Jobs in England

Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability More ❯

our careers site for more information https://gov.uk/ukhsa/careers Job description Job responsibilities Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will … computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases More ❯

IoT, AI, or blockchain where 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 in SQL, R or Python More ❯

managers, and business stakeholders, to understand requirements and deliver data-driven solutions. A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related discipline. Demonstrable experience with data analysis techniques and methodologies. Proficiency in at least one programming language commonly used in data science (e.g., Python, R More ❯

/symposia/conferences to maintain awareness of developments in scientific research and technology. What are we looking for? PhD or master's degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications. Understanding More ❯

communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling More ❯

communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling More ❯

communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling More ❯

knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R … modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands More ❯

years in Data Analyst position or otherwise in projects involving big data -preferably in the tech, e-commerce, or digital marketing industry. Bachelor's degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate … data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent More ❯

looking for people who can support our ethos. To apply to this post, you will have: Relevant Industry experience with a Bachelor's or higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud … services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding with experience in large scale product development (is a More ❯

standard to help you gain the skills you need to complete the apprenticeship. Role Essential Criteria • Either a degree in a maths or science subject, or demonstrable experience in statistics, data and analysis • You will have a good understanding of statistics, such as distributions, hypothesis testing and regression. • Experience of or a willingness to learn coding languages, particularly sql and More ❯

Consult and guide clients on data and ML implementation, serving as a trusted advisor on data-driven decision making WHAT WE ARE LOOKING FOR MSc degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field 3+ years of experience in data science and/or ML engineering roles Strong foundation in statistics and mathematics including probability More ❯

Generative AI and experience using 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 leading-edge cloud and data More ❯

methodologies, and assumptions. Stay up-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 analysis tools such as Excel More ❯

their data requirements - Support data quality initiatives and help maintain data integrity - Assist in documentation of processes and procedures Required Skills & Qualifications - Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or related field - Basic programming skills in Python or R - Understanding of SQL and database concepts - Proficiency in Excel and data visualization tools - Strong analytical and problem-solving abilities More ❯

of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with More ❯

analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're More ❯

Quick Sight, Tableau, Power BI 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, time-series forecast, and/ More ❯

Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We’re working with a respected client based in Central London … their analytical team with a bright and motivated Graduate Data Analyst . If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We’re Looking For A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R More ❯

Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We’re working with a respected client based in Central London … their analytical team with a bright and motivated Graduate Data Analyst . If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We’re Looking For A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R More ❯

Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We’re working with a respected client based in Central London … their analytical team with a bright and motivated Graduate Data Analyst . If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We’re Looking For A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯