26 to 50 of 2,344 Statistics Jobs in England

statistical packages. OR a PhD in a quantitative field with 3+ data analytics work experience using statistical packages. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Professional experience in marketing science, ideally within the … mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences). Ability to manage multiple projects at the same time while paying attention to detail. Distinctive problem-solving skills, good at articulating product questions … pulling data from large datasets and using statistics to arrive at a recommendation. Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Ability to seek out new business questions and effectively scope projects More ❯

development and improvement of business practices and processes. Support the project team in all aspects of programming activities. Qualifications Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). More ❯

maintain a centralized repository. Establish and follow best practices in model versioning, reproducibility, and model governance. Qualifications Education Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Statistics, or a related field. Equivalent experience will be considered. Experience Minimum of 5 years in a data science or machine learning-focused role. Technical Skills Expertise in designing and deploying More ❯

ensure they meet the intended objectives. Work closely with various business units to understand their data needs and challenges. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in programming languages such as Python or R. Experience with SQL and familiarity with database management practices to handle and query More ❯

and data frameworks (e.g., Hadoop). Experience with AI/ML-based solutions for data analysis is a big plus. Analytical mind and business acumen. Strong math skills (e.g., statistics, algebra). To Be Successful in This Position, You Will Have the Following: Self-motivated and able to handle tasks with minimal supervision. Superb analytical and problem-solving skills. Excellent More ❯

and experimental results. Mentor junior team members and contribute to the data science community of practice. Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus). Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying More ❯

and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities Skills and Qualifications Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline) 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry Knowledge of underwriting, pricing, reserving, or risk More ❯

sales team to identify new business opportunities and contribute to proposal development for data science projects.**Qualifications**+ Education: Master’s or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related field.+ Experience: 5+ years of experience in data science or related fields, with at least 2 years in a leadership role, ideally within a consultancy or client More ❯

of various initiatives and identifying untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, R, Python, or other programming languages More ❯

Microsoft Azure. Strong experience in developing software in Python and demonstrated ability to create machine learning models and new feature prototypes. A Bachelors/Masters in a quantitative field (Statistics, Research, Systems Engineering, Sciences, Maths, Economics etc) would be advantageous but not essential. Languages: Python & SQL (required). Visualization (one or more): Looker, Data Studio, Tableau. Understanding of ML concepts More ❯

Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics Get AI-powered advice on this job and more exclusive features. 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 … grow 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 ❯

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 ❯

actionable insights. Stay updated on emerging technologies and best practices in data science to contribute to continuous improvement initiatives. **Qualifications and Skills:** Master's Degree in computer science, IT, statistics, analytics, mathematics, or related field. - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management. Proficiency in programming languages such as Python More ❯

Stay current with advancements in machine learning, AI, and data science methodologies to continuously improve processes and solutions Requirements for the role Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (Bachelor’s with significant experience also considered) 3+ years of experience in data science, machine learning, or a related role Proficiency in programming languages 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 ❯

goals into data projects Use tools like Python, R, SQL, Jupyter, Pandas, Scikit-learn, TensorFlow, Power BI, Tableau , and others Requirements Minimum Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field Proven experience as a Data Scientist or in a similar role (minimum 1 year ) Strong proficiency in Python or R for data analysis and 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 ❯

Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy. If you are motivated to serve the needs of 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 ❯

capabilities. Privacy and Compliance: Adhere to data privacy regulations and compliance requirements while handling sensitive and confidential data. QUALIFICATIONS Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Economics, or Computer Science. A master's degree is a plus. At least 5 years of professional experience as a Data Analyst or in a similar role, demonstrating proficiency in 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 ❯

Strong proficiency in R (required) and working knowledge of Python (). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and 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 ❯

proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and More ❯