201 to 225 of 2,603 Statistics Jobs

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

Optimistically by Championing Growth and Development to Mobilize the Enterprise. We are looking for a candidate who can display the following attributes: Master’s degree or higher in Mathematics, Statistics, Physics, Economics, Computer Science, or a related field; or equivalent through experience At least 3 years of experience as a data scientist Excellent analytical skills and strong statistical knowledge, as More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

to enhance their understanding of internal processes and technologies, and support their successful delivery of solutions. Skills and experience required : University degree with an emphasis on Computer Science, Mathematics, Statistics or equivalent experience. Extensive experience in an IT-focused environment. Excellent communication skills and the ability to build strong relationships across all organizational levels. Flexible team player who understands the More ❯

to enhance their understanding of internal processes and technologies, and support their successful delivery of solutions. Skills and experience required : University degree with an emphasis on Computer Science, Mathematics, Statistics or equivalent experience. Extensive experience in an IT-focused environment. Excellent communication skills and the ability to build strong relationships across all organizational levels. Flexible team player who understands the More ❯

systems and internal processes efficiently and integrating these in daily work Presenting insights and findings to stakeholders Required Experience/Skills Master's or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field Experience analysing panel-based data Excellent analytical skills and strong statistical knowledge, as well as an interest in applying them to complex problems Extensive More ❯

thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes More ❯

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 ❯

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 ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support 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 ❯

and international conferences. Essential Skills: 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 ❯

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 ❯

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 ❯

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 ❯