201 to 225 of 701 Statistics Jobs in England

with colleagues and clients from different cultures and countries. You'll need to have: A Bachelor's or Master's degree in a related field such as Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline. Proficiency in Python and SQL. Strong quantitative skills and comfort with working effectively with large datasets and complex models. Internship and/ More ❯

necessary. Experience in DevOPS is a plus with hands on experience in Jenkins, Git and any one artifactory tool. Qualifications Masters or B.S. degree in Computer Science, Data Science, Statistics Engineering or a related field. Expertise in Oracle database, with strong proficiency in SQL and PL/SQL, Oracle access control (roles, privileges, user management, and data security). Working More ❯

functional technical initiatives with executive visibility Excellent storytelling, stakeholder influence, and strategic communication skills Experience mentoring senior technical talent and shaping data science culture Advanced knowledge of machine learning, statistics, or computer science, typically backed by a relevant degree or substantial applied experience in complex environments Theres something for everyone. Were a place of opportunity. Youll have the tools and More ❯

credit strategy aligns with customer experience, operational capabilities, and commercial goals. Requirements Who you are Analytically Exceptional: You have a strong academic foundation, ideally with a degree in Mathematics, Statistics or Data Science. You bring know-how of credit risk analytics, scorecard development, and data-driven strategy design. Technically Proficient: You have strong hands-on coding skills in SQL and More ❯

Management Information) reports for senior stakeholders. Ensure data quality and consistency across internal systems and external reporting. Who are you: Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Actuarial Science). Strong analytical and problem-solving skills. Proficiency in Excel, SQL, and data visualisation tools (e.g., Power BI, Tableau). 3+ years in general insurance. Excellent communication More ❯

an ownership attitude and self-starting approach, thriving in a fast-paced environment Candidate Profile A master's or PhD degree in a quantitative science discipline, such as Economics, Statistics, Data Science, Econometrics, Math, or Financial Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop More ❯

particularly in roles that bridge data, product, and customer experience. Background in consulting, strategy, or transformation programmes with a focus on data and measurement. A Background in behavioural science, statistics, or customer analytics. Familiarity withNext Best Action (NBA)ordecisioning platformsin a marketing or customer experience context. About working for us Our ambition is to be the leading UK business for More ❯

activity and providing clear, compelling management reporting on a regular basis Research and implement novel machine learning and statistical approaches BASIC QUALIFICATIONS - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS - Experience implementing More ❯

both technical and non-technical. Learn quickly and continuously from new tools and techniques to client domains and business challenges. Must-Have What Youll Bring A strong foundation in statistics, probability, and machine learning fundamentals either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯

with colleagues and clients from different cultures and countries. You'll need to have: A Bachelor's or Master's degree in a related field such as Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline. Proficiency in Python and SQL. Strong quantitative skills and comfort with working effectively with large datasets and complex models. Internship and/ More ❯

metrics Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 4+ years More ❯

friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation Familiarity with machine learning (ML) and artificial intelligence (AI More ❯

data with engineers. Experience with BI/notebook tooling (Looker, Hex, Mode, Tableau, or similar) and data transformation tools like dbt. Bachelor's or Master's in Finance, Economics, Statistics, Data Science, or a related field. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build More ❯

be a data domain expert and facilitate data informed decision making within EBRD's HROD department. The role holder helps support decision makers by visualising data, analysing trends, applying statistics and finding insights using the Bank's suite of business intelligence tools - Cognos, Tableau and Alteryx. Accountabilities & Responsibilities Deliver Improvements to the HR Reporting Capability Responsible for understanding relevant Bank More ❯

customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs More ❯

weekly, monthly, and quarterly). - Design and implement robust, extensible, and scalable solutions. - Ensure data accuracy and reliability while adhering to globally standardized definitions. - Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI solutions. - Effectively communicate technical blockers and requirements with Business Intelligence teams in US/India. - Balance technical trade-offs between long-term scalability and short More ❯

quality-focused domains. Strong proficiency in Python, SQL, and statistical techniques. Experience with cloud platforms (AWS, Redshift, Azure), g it version control Model automation, Kafka Familiarity with intermediate-level statistics (e.g., KNN, K-means, Bayesian logic). Proven ability to present insights using PowerBI and Excel. Strong problem-solving skills and a collaborative mindset. Experience in industries with large consumer More ❯

set standards for a growing team Your profile 4+ years of experience in a similar data science or analytics role Degree with strong statistical/mathematical component (e.g. Maths, Statistics, Data Science, Artificial Intelligence, Operations Research or equivalent) Proven track record of delivering high-impact machine learning models and developing algorithms that solve real-world challenges Experience programming in Python More ❯

in applied machine learning with at least 4 years in a leadership/management role Ph.D. or master's degree in computer science, Machine Learning, Information Retrieval, Mathematics/Statistics or another related field of science. Depth of expertise and experience in developing and deploying to production machine learning models for recommendations, personalisation, or search relevance. Comprehensive knowledge of machine More ❯

broader marketing performance strategies. Participate in Go-To-Market Activities to drive Accenture's Marketing Data & AI revenue pipeline Qualification Basic Qualifications Bachelor's or Master's degree in Statistics, Economics, Mathematics, Marketing Science, or a related field. Strong experience in advanced analytics, includi marketing mix modelling . Proven experience in managing client relationships and leading project teams. Deep understanding More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

support and flexibility to make the most of your talents at Temper. What makes you a great fit: Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, or a related discipline. Strong analytical and problem-solving skills with the ability to break down complex issues into manageable components. Proficiency in SQL for data querying and manipulation. More ❯

role Experience in SIMM, FRTB-ASA or exposure models Experience in banking, consulting, auditor or other relevant financial services SKILLS AND EXPERIENCE Required Finance or highly numerate education (Maths, Statistics, Engineering, Computer Science, Finance) Understanding of financial markets and products including derivatives Familiarity with principles of derivatives pricing Experience with Python/R/Excel/VBA Desirable Understanding of More ❯