Data Scientist
1 month ago
About SGA
SG Analytics, a Great Place to Work (GPTW) certified company, is one of the leading research and analytics firms to offer datacentric research and contextual analytics services to companies across BFSI, Media & Entertainment, Technology & Healthcare sectors including Fortune 500 companies. With a presence in the US, the UK, Switzerland, and India (Pune, Hyderabad, Bangalore), SG Analytics has been consistently meeting and exceeding customer expectations by its knowledge-based ecosystem and impact-oriented solution.
Company size: 900+ employees.
Headquarters: Pune
Founded: 2007
Specialties: ESG Consulting, Equity & Fixed Income Research, Corporate Finance & Valuation, Market Research, Market Intelligence, Data Engineering, Data Governance & Management, Data Science, AI/ML, Customer Analytics, Marketing Analytics, Sales Analytics, Competitive Intelligence, Intelligent Automation, RPA, Quality Engineering, and Business Consulting
- B.Tech/B.E/MCA or M tech in Computer science/electronics/electrical engineering/Statistics tier 1 colleges / universities.
- 4+ years of hands-on experience with Python and SQL (R is a plus)
- 4+ years of data science/analytics experience
- Experience with traditional Machine Learning
- Experience with Deep Learning (especially Computer Vision and/or Natural Language Processing)
- Well-developed analytical, logical and problem solving skills
- Advanced ability to perform exploratory data analysis, visualize data and answer business questions with data and analytics
- Familiarity with data management tools
- Working knowledge of Statistics and familiarity with common data science toolkits
- Excellent communication (written and oral) & technical writing skills
**Optional skills**
- Prior experience in P&C and L&H Insurance analytics (Claims, Pricing, Marketing)
- Professional software development experience including documentation and testing
- Working experience in containerized, cloud-based environments, especially Microsoft Azure
- Experience with developing and maintaining CI/CD pipelines
- Experience in designing, developing, deploying and operating scalable RESTful micro-services
- Knowledge and experience in DBMS technologies
- Knowledge and experience in Monitoring systems
- Knowledge on software architecture design principles
- Experience working in a cross-functional and distributed agile team
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