51 to 75 of 2,995 Statistics Jobs

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

sales team to identify new business opportunities and contribute to proposal development for data science projects.**Qualifications**+ Education: Master’s or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related field.+ Experience: 5+ years of experience in data science or related fields, with at least 2 years in a leadership role, ideally within a consultancy or client More ❯

of various initiatives and identifying 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, Python, or other programming languages More ❯

tools to support business growth. Skills and Experience Education and Certifications A third-level degree, with a strong academic record in a quantitative field of study (e.g., Data Science, Statistics, Mathematics, Computer Science). Minimum of 2 5 years of relevant experience in data analysis, business analysis, or technology consulting within financial services, ideally funds or asset management. Working knowledge More ❯

Microsoft Azure. Strong experience in developing software in Python and demonstrated ability to create machine learning models and new feature prototypes. A Bachelors/Masters in a quantitative field (Statistics, Research, Systems Engineering, Sciences, Maths, Economics etc) would be advantageous but not essential. Languages: Python & SQL (required). Visualization (one or more): Looker, Data Studio, Tableau. Understanding of ML concepts More ❯

Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics Get AI-powered advice on this job and more exclusive features. Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights - unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate … grow 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) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R More ❯

the chance to work with cutting-edge data analysis and visualization tools, driving key business decisions through data-driven strategies. Ideal candidates will have a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field, along with experience in Excel, Power BI, Tableau, SQL, Python, or R. If you have a keen eye for detail and a … and compliance with relevant policies. Automate data processing and reporting tasks for efficiency. Communicate findings and recommendations effectively to technical and non-technical audiences. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Experience working with data analysis and visualization tools (e.g., Excel, Power BI, Tableau, SQL, Python, or R). Strong problem-solving skills More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

statistical packages. OR a PhD in a quantitative field with 3+ data analytics work experience using statistical packages. Programming: working knowledge of Python (or R) and SQL is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing … mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences). Ability to manage multiple projects at the same time while paying attention to detail. Distinctive problem-solving skills, good at articulating product questions … pulling data from large datasets and using statistics to arrive at a recommendation. Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Ability to seek out new business questions and effectively scope projects More ❯

looking for people who can support our ethos. To apply to this post, you will have: Relevant Industry experience with a Bachelor’s or higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud … services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding with experience in large scale product development (is a More ❯

looking for people who can support our ethos. To apply to this post, you will have: Relevant Industry experience with a Bachelor’s or higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud … services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding with experience in large scale product development (is a More ❯

degree with 2+ years data analytics work experience using statistical packages or a PhD in a quantitative field. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing … mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences). Professional experience in marketing science, ideally within the ad-tech sector. Ability to manage multiple projects at the same time while paying attention … to detail. Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation. Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. More ❯

decisions You're required to have this: Active Top Secret/SCI Security Clearance with polygraph Data Scientist 1 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of … years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Data Scientist 2 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience More ❯

standard to help you gain the skills you need to complete the apprenticeship. Role Essential Criteria • Either a degree in a maths or science subject, or demonstrable experience in statistics, data and analysis • You will have a good understanding of statistics, such as distributions, hypothesis testing and regression. • Experience of or a willingness to learn coding languages, particularly sql and More ❯

Consult and guide clients on data and ML implementation, serving as a trusted advisor on data-driven decision making WHAT WE ARE LOOKING FOR MSc degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field 3+ years of experience in data science and/or ML engineering roles Strong foundation in statistics and mathematics including probability More ❯

communicate data findings to stakeholders • Stay current with emerging AI/ML technologies, tools, and research Required Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (PhD preferred) • 3+ years of experience in AI/ML model development and data analytics • Strong programming skills in Python (preferred), R, or similar languages • Experience More ❯

findings Collaborate with stakeholders to understand data availability and organizational needs Required Qualifications: Must hold an active Secret security clearance Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related discipline (Bootcamps or certifications will be considered in conjunction with applicable degrees) A minimum of 3 years of experience working in data science or machine learning Strong skills More ❯

Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and More ❯

date with industry trends, best practices, and emerging technologies in data analysis and apply them to enhance our company's data capabilities. Qualifications: Bachelor's degree in computer science, Statistics, Mathematics, Economics, or related field. A master's degree is preferred but not required. Proven experience as a Data Analyst or similar role, preferably in the IT industry. Proficiency in More ❯

actionable insights. Stay updated on emerging technologies and best practices in data science to contribute to continuous improvement initiatives. **Qualifications and Skills:** Master's Degree in computer science, IT, statistics, analytics, mathematics, or related field. - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management. Proficiency in programming languages such as Python More ❯

and non-technical audiences. • A proactive, detail-oriented mindset focused on data accuracy, problem-solving, and process improvement. • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. • Relevant certifications in Power BI, SQL Server, or data analytics tools. • Familiarity with government reporting processes or healthcare data analytics a plus. • This position does require More ❯