Founded in 2000, our Client is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics and AI to the decision. They have 1000+ member team across 12 global locations including the United States, UK and India and has been recently featured as a “Hot Artificial Intelligence (AI)” company by Forbes. They has also been recognized as “Cool Vendor in Analytics” and a “Vendor to watch” by Gartner.
As a Senior Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills.
Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques.
Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics).
Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language.
Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights.
Manage project budgets and timelines, ensuring times and on-budget completion.
Experience analyzing large data sets using statistical software like SAS, SPSS or preferably with programming languages such as Python or R to discover new business insights. Required Experience – 2+ years, advanced knowledge of python libraries like sci-kit learn will be an advantage.
Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or similar are required. Required Experience – 2 + years
Knowledge of Hadoop ecosystem, experience with big data processing engines like spark– 1+ years
Prior experience with building models, analysing structured and unstructured data, and/or machine learning. Required Experience with machine learning– 4+ years
Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization.
Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 3-4 years of work experience, or bachelor’s degree plus 6 years work experience
Well developed written and oral communication skills, with ability to present and explain outcomes to business teams
Strong project management skills / experience managing projects, budgets, and schedules to successful completion desired. Experience leading small/medium teams required – 2+ years.
Prior exposure to financial services or insurance services strongly desired.