226 to 250 of 2,710 Statistics Jobs

support the wider team and Data Science community to drive innovations based on your work Essential qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on experience in optimisation algorithms (or a related displicine). Please note: - Wihlst we'd consider candidates with relevant academic background, we'd prefer More ❯

Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Essential qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) experience in implementing Reinforcement Learning (or a related displicine). Please note: We use the term Reinforcement Learning as an More ❯

Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Essential qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) experience in implementing Reinforcement Learning (or a related displicine). Please note: We use the term Reinforcement Learning as an More ❯

at national and international conferences. MSc and/or Ph.D. or equivalent experience in a relevant quantitative discipline (e.g., Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA/Internships are considered as More ❯

Show a desire to learn and develop core analytical skills Understand your strengths and weaknesses and train accordingly YOUR SKILLS AND EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience. More ❯

SeeChange is a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combined expertise and €45 million in platform investment, they've secured 15 patents (and counting). Their mission is to empower people through More ❯

SeeChange is a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combined expertise and €45 million in platform investment, they've secured 15 patents (and counting). Their mission is to empower people through More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

Social network you want to login/join with: Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 27.06.2025 Expiry Date: 11.08.2025 col-wide Job Description: Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location … 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) Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong More ❯

with data science standards and conduct quality assurance of solutions Coordinate with cross-functional teams and present results to business stakeholders Required Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field 3+ years of experience in machine learning, statistical modeling, or related analytical roles Strong proficiency in Python and solid foundation in machine learning … data analysis, and statistics Proficiency with statistical analysis and machine learning fundamentals Hands-on experience with software development best practices and version control systems. Understanding of SQL and database management systems Excellent analytical and problem-solving skills with a high attention to detail Preferred Qualifications Master's degree in Data Science, Statistics, or a related quantitative field Experience with advanced More ❯

and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing … years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

analytics and the sports betting & gaming industry. Experience and Skills A minimum of 3 years proven experience in an analytics role. Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Strong SQL proficiency. Strong proficiency in a statistical programming language, e.g. R or Python. Experience with data visualization and reporting tools, e.g. Tableau or PowerBI. Experience … in data analysis or mathematical model development, with a strong understanding of statistics concepts such as multivariate testing. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and communication skills. Previous experience More ❯

Stay informed on academic and industry research to incorporate cutting-edge methodologies into strategy development. Candidate Profile Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Proven experience in quantitative research and strategy development for opening/closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm. … ethical standards and a commitment to maintaining the firm's reputation and integrity. Desired Skills and Experience Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Proven experience in quantitative research and strategy development for opening/closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm. More ❯

prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering. As a Senior Data Scientist, you will play a pivotal role in the creation … insights through your work with client teams and clients. Your qualifications and skills Master's degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Experience in client delivery with direct client contact Proven experience applying machine learning techniques to solve business problems Proven experience … and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming 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 7+ years of extensive relevant research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful More ❯

and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing … years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and … and limitations. Qualifications: Bachelor's Degree with 15 years of relevant experience Associates degree with 17 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and … Bachelor's Degree with 15 years of relevant experience Associates degree with 17 years of relevant experience All Levels: Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

AI Labs has offices in New York, Palo Alto, Edinburgh, Atlanta and Seattle. The team has several Stanford professors as senior advisors with world-class expertise in machine learning, statistics, optimization and stochastic control. These advisors include AI Labs co-head Stephen Boyd (Samsung Professor of Engineering at Stanford), Emmanuel Candes, Trevor Hastie, and Mykel Kochenderfer who dedicate time in … academics, engineers, and investment professionals to develop methodologies for products solving a corporate-wide set of client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, artificial intelligence, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia. You will be responsible for the entire research lifecycle, from initial research … compliance with firm-wide processes. • Produce technical white papers and make clear technical presentations to senior management. Qualifications • Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field) with 3+ years of professional experience or • An MS degree in a quantitative field plus 5+ years of professional experience in optimization, machine learning More ❯

Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 15+ years of relevant, broad research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful More ❯

based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent problem-solving and communication skills. Strong understanding of statistics and experience with classifiers, regression, and decision trees. Experience with programming languages such as C#. Solid understanding of ETL processes and T-SQL. Bachelor's degree in Statistics, Mathematics, or More ❯

and medical devices and advise on the refinement of AI tools for data processing. Who are we looking for? Our Successful Candidate Will Have A PhD in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience Strong experience of using machine learning or data science to analyse and model large datasets. Experience … of working collaboratively within multidisciplinary data science teams and delivering results in a timely way. Demonstrable technical knowledge and skills in at least one of the following domains: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference. If you would like to find out more about this fantastic opportunity, please read our Job Description and Person More ❯

Show a desire to learn and develop core analytical skills Understand your strengths and weaknesses and train accordingly YOUR SKILLS AND EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience. … or management consulting practice. You will be expected to have an understanding and with guidance utilise our core technical skills: Core analytical languages and software (Excel, SQL, Python, Alteryx) Statistics Data Visualisation tools (Power BI/Tableau/Looker/etc) Web and Social Analytics (GA/Adobe/Brandwatch/Sprinklr) Value engineering/Business casing Performance Measurement and More ❯

offer tangible benefits. To Be Successful In The Role, You'll Need 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self-improvement … findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired Qualifications Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location More ❯