251 to 275 of 858 Permanent Statistics Jobs

broader marketing performance strategies. Participate in Go-To-Market Activities to drive Accenture's Marketing Data & AI revenue pipeline Qualification Basic Qualifications Bachelor's or Master's degree in Statistics, Economics, Mathematics, Marketing Science, or a related field. Strong experience in advanced analytics, includi marketing mix modelling . Proven experience in managing client relationships and leading project teams. Deep understanding More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

role Experience in SIMM, FRTB-ASA or exposure models Experience in banking, consulting, auditor or other relevant financial services SKILLS AND EXPERIENCE Required Finance or highly numerate education (Maths, Statistics, Engineering, Computer Science, Finance) Understanding of financial markets and products including derivatives Familiarity with principles of derivatives pricing Experience with Python/R/Excel/VBA Desirable Understanding of More ❯

to anticipate needs and problems and act accordingly. • Excellent organizational and time management skills with demonstrated ability to manage conflicting priorities. Education and Experience: • Bachelor's degree in mathematics, statistics, business, law, government, physical science, or management discipline such as business administration, accounting, finance, economics. • Experience - At least 10 years of general experience highlighting strategic decision-making, complex problem solving More ❯

both operational and data stakeholders in a timely and concise manner. This role will be a great fit if: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience in Data Analytics. 5+ years of experience in a data analyst or similar role, ideally with experience working within operational or customer-facing teams. Advanced More ❯

veteran status, or any other Federal or State legally protected classes. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in More ❯

Stay ahead of industry trends in marketing analytics, predictive modelling, and performance strategy. What We're Looking For: Basic Required Qualifications: Bachelor's degree in Data Science, Marketing Analytics, Statistics, Economics, or related field; advanced degree preferred. 10+ years of experience in marketing roles, including marketing analytics, revenue modeling, or enterprise data strategy. Proficiency in attribution modeling, regression analysis, and More ❯

analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Advanced programming background with the ability to build simulations More ❯

or you're a quick learner. Have handled real-world data messiness before (missing events, conflicting definitions) and know how to get to "good enough" without getting stuck. Treat statistics as a power tool, not a party trick-confident with basic stats and able to recognise when fancier models are (or aren't) worth it. Thrive in an early-stage More ❯

problems using Python, R, Hadoop, and Greenplum (or other Massively Parallel Processing solutions). REQUIRED SKILLS: Bachelor's Degree in a quantitative or technical field of study, such as Statistics, Mathematics, Computer Science, or Geospatial Information Systems 3 years' experience integrating data mining, conditioning, and analysis that includes the use of current data analysis software and methods Demonstrated problem solving More ❯

and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data More ❯

and enforce data quality standards and validation rules. Document data models, metrics definitions, and reporting logic. What We're Looking For: Bachelor's degree in data Analytics, Computer Science, Statistics, or a related field. Strong analytical and problem-solving skills. Good Database and SQL skills Experience with data visualization tools (e.g., Power BI, Tableau, Looker). Basic understanding of data More ❯

ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

to standards. Utilise data integration tools and languages to integrate and store data, and advise teams on best practice. Competencies & Experience: Bachelor's degree in a quantitative field (e.g. statistics, mathematics, computer science) 4 years of experience as a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related More ❯

or prop) Strong understanding of European equities market microstructure Background in quantitative modelling, data analysis, or algorithm design MSc or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar Desirable Experience: Experience with low-latency systems, high-frequency trading (HFT) or execution consultancy Exposure to Python for prototyping and data analytics Familiarity with distributed systems, messaging frameworks More ❯

and implementation, leveraging automation when feasible. Required Qualifications: Active Top Secret security clearance Bachelor's degree from an accredited college or university in a quantitative or technical field (e.g., Statistics, Operations Research, Computer Science, Engineering) Minimum 2-4 years of experience in a data engineering or data analytics role Strong scripting skills in one or more languages: Python, R, Perl More ❯

controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What We’re Looking For: Degree (graduate or postgraduate) in Statistics , Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯