26 to 50 of 932 Statistics Jobs in England

test hypotheses. Communicate findings effectively to an audience of engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics or other related quantitative areas. Advanced oral and written communication skills in English. Ability to understand mathematical models and algorithms in research papers and More ❯

We're excited if you have 3+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 3+ years of experience in consumer product, digital media or entertainment industries Expertise in SQL More ❯

for its own sake. Demonstrated leadership experience, either through line management or team/project leadership. A degree in a numerate discipline (e.g., Maths, Statistics, Computer Science, Engineering). Desirable: Experience in a complex, matrixed organisation - retail sector experience is welcome but not required . Experience working with Jira and More ❯

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, SAS More ❯

array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling/machine learning. Coding More ❯

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 More ❯

develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience. Significant working experience in process automation, data analysis, and/or ETL development with a focus on banking More ❯

and review modeling projects. Stay informed on emerging industry trends and best practices to enhance team capabilities. Education Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

projects. -Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. QUALIFICATIONS Education: -Bachelors degree in data science, Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning More ❯

techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯

techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯

and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning algorithms as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Job Responsibilities Ability More ❯

learning models to test hypotheses. Communicate findings effectively to engineers and executives. Required Qualifications: Bachelor's Degree in Computer Science/Engineering, Applied Math, Statistics, Physics, or related quantitative fields. Proficiency in English, both oral and written. Ability to understand and implement mathematical models and algorithms from research papers. Experience More ❯

tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to More ❯

are looking for people who can support our ethos. To apply to this post, you will have: A BA/BSc/MA in Statistics, Maths, Industrial engineering, or other quantitative field Experience in a quantitative role using R/Python and writing complex SQL code Excellent communication and presentation More ❯

tools (e.g., Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics) What we offer Our roles offer more than just a job, you'll become part of the William Hill More ❯

business stakeholders to translate between data and business needs. - Experience working as a BIE in a technology company. PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field. - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience with theory and More ❯

business stakeholders to translate between data and business needs. Experience working as a BIE in a technology company. PREFERRED QUALIFICATIONS Master's degree in statistics, data science, or an equivalent quantitative field. Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience with theory and More ❯

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 More ❯

with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master's, PhD) are a plus. What We Offer Be part of a multicultural team that is More ❯

for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques More ❯

for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques More ❯

Analytics, Tableau, Looker, Qlik, Micro Strategy etc... Python experience SQL experience Stakeholder management experience An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong More ❯

in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps More ❯