126 to 150 of 547 Statistics Jobs in England

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. 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 ❯

and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines More ❯

insights A self-starter, passionate about converting data into actionable insights and business value Adaptive to fast-paced, high autonomy environments Degree or equivalent in a relevant field, e.g Statistics, Mathematics Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants. More ❯

Strong Python programming skills Strong understanding of algorithms, data structures, and performance optimization Experience with scientific Python libraries (pandas, numpy, etc) Understanding of time series data Basic understanding of statistics and data analysis Modern version control Testing frameworks, continuous integration, and deployment Experience working with network filesystems Linux computing environment Preferred Experience 3-5 years of experience working in software More ❯

of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and More ❯

team Collaborate with software developers to maintain or productionize risk tools Required Experience and Skills: Bachelor's Degree in a technical or quantitative field (Financial Engineering, Mathematics, Financial Math, Statistics, Computer Science) 3-5 years of work experience Knowledge of financial markets and financial instruments; exposure to related risk analytics and pricing preferred Previous programming or scripting experience (using Python More ❯

using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk 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 ❯

PREFERRED QUALIFICATIONS - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯