451 to 475 of 2,115 Statistics Jobs

forefront of innovation. Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence. BASIC QUALIFICATIONS Ph.D. or Master’s in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models. Experience with deep learning frameworks (e.g., TensorFlow More ❯

analytical techniques. Technical Skills and Qualifications A 2:1 or above from a recognised university in a quantitative subject. A demonstrable passion for machine learning/data science or statistics is crucial. A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks More ❯

infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving More ❯

annotation challenges. Stay updated with industry trends in data annotation, finance, and news. Participate actively in project and product coordination when needed. Qualifications: Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields. At least four years of experience in data management concepts like data quality, sampling, and modeling. Experience with data visualization tools like More ❯

working in a Data Scientist role or similar Strong programming skills in Python, with knowledge of SQL and data visualisation tools (e.g. Tableau or Power BI) Solid understanding of statistics, mathematics, and machine learning fundamentals Experience working with large datasets and contributing to analytical platforms or data products If you're a Data Scientist looking to step into a role More ❯

in the pricing workflow, leveraging tools like Earnix or Akur8 Participate in cross-functional projects aimed at enhancing pricing capabilities and increasing market share Skills Required Degree in Mathematics, Statistics, Economics, Actuarial Science, or a related quantitative field 1+ years of experience in a pricing or data analysis role, preferably within the insurance industry Experience in building technical risk models More ❯

technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects. Specific requirements are: Bachelor of Science in Engineering, Economics, Statistics, Computer Science, or a similar field, and Master of Science or MBA degrees. 4+ years of work experience, including 2+ in management consulting or product management. Experience in machine learning More ❯

edge and competitive. Ensure adherence to best practices in data, ML, AI, and engineering. Experience Required: Degree in Data Science, Machine Learning, Physics, Chemistry, Engineering, Economics, Computer Science, Mathematics, Statistics, or related fields. Proven experience in data science, analytics, AI, or engineering. Successful track record of delivering complex data projects with problem-solving skills and a focus on practical, impactful More ❯

hope to see in our data scientist managers: Concrete experience delivering concrete AI products. A master degree with strong elements of modern data science techniques: Machine Learning algorithms, coding, statistics, Other types of eduction are also valued. A sound knowledge of algorithms, and the ability to critically apply this knowledge to practical problems. Knowledge of common data science software. We More ❯

problems into manageable parts for analysis. Strong communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. A degree in Data Science, Statistics, Computer Science or a related field is preferred but not mandatory. If you are passionate about data and eager to contribute to meaningful projects within our organisation, we encourage you More ❯

proactive in the research of market modelling improvements to succeed in this position. Technical requirements Fluent in French & English Educated to master’s degree level, preferably with a high statistics or mathematics component Experience of building/developing stochastic or deterministic optimisation procedures/models Advanced skills in: Source code management (Git) Full understanding of the ways of working of More ❯

questions, supporting enablement activities, etc. Build strong understanding of data infrastructure, including input systems and engineering pipelines, to debug user issues Required Qualifications: A degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. At least 8+ years of experience in an analytics or data-oriented role Prior experience supporting at the executive level More ❯

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 ❯

Master's degree in Economics, a related field (e.g., Statistics, Data Science, Public Policy, Business, Finance), or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: PhD in economics or a related field with a focus on macroeconomics, industrial organization, or econometrics. More ❯

of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring More ❯

credit or rates). You demonstrate exceptional analytical, quantitative, and technical problem-solving skills with a structured mathematical approach and thought process. You have an advanced degree in mathematics, statistics, physics, financial engineering, or computer science. You have at least 5 years of experience supporting a credit market-making desk or equivalent experience on both sell-side and buy-side More ❯

with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space - Knowledge of data warehousing and data modeling 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 programming to extract, transform and clean large (multi More ❯

using tools such as Alteryx • Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting PREFERRED QUALIFICATIONS • Graduate or Undergraduate degree in Computer Science, Statistics, Math, or Engineering • Experience in financial services, operations fields • Experience in gathering and documenting requirements with full testing traceability • Experience in Snowflake, Databricks, Legend Studio platforms • Data governance and modelling More ❯

changes to include communication back to the client. Actively participate in deployment of changes. Experience, Education and Qualifications: Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics. Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change management. Strong observational, analytical and numerical reasoning skills Effective communication More ❯

acquire new data sources that deliver innovative perspectives to our clients WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Strong Python and other programming skills (Java and/or Scala desirable) Strong SQL background Some exposure to big data technologies (Hadoop, spark More ❯

and non-technical audiences. Familiarity with tools like Jira for backlog and task management (a plus). Understanding of data privacy considerations in analytics. Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field (preferred). Why Join Us Work with a talented, collaborative team on meaningful, high-impact projects. Help shape the future of analytics in More ❯

a curious and driven individual who enjoys working with data to uncover trends and inform decisions. The ideal candidate will bring: A background in a relevant area such as Statistics, Economics, Computer Science, Mathematics, Business, or any related discipline Comfortable using Microsoft Excel for organizing and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure More ❯

Experience in complex problem solving, and working in a tight schedule environment - Bachelor's degree PREFERRED QUALIFICATIONS - Experience leading process improvements - MBA - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Intermediate knowledge of either Python or SQL Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

technical roadmaps for stakeholders at various levels Contribute to client-facing activities, including presentations, workshops and responses to RFPs/RFIs Requirements Bachelors or Masters degree in Data Science, Statistics, Computer Science, Software Engineering or related fields. A Ph.D. is an advantage Extensive experience in data science, ML engineering or related roles. Experience in leading teams on projects in not More ❯

the exploration of new tools and technologies. Contributing to the development and execution of PDQ goals and initiatives. What you will bring: A Degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent relevant experience. Scientific programming experience (Python and/or R expertise required). Knowledge in statistical/advanced analytics (e.g., clustering, data classification, data grouping). Experience More ❯