Function :
- Supports Embedded Analytics Solutions to develop and deliver Industry best Digital solution adhering to established standards
- Analyze business process and identify/ scope out automation opportunities via Analytics (Data Science / Predictive Modeling/ Machine Learning NLP/ NLU)
- Identifying and communicating the technical infrastructure requirements to deploy automation solutions and convert solutions to tools, and products
- Analyzing, understanding and documenting the business processes in detail where required
Essential Functions
- Must possess a balance of analytical problem solving, and strong interpersonal, and relationship development skills.
- Sound knowledge of Python and cloud platform: AWS/ Azure
- Hands-on experience in NLP/ NLU, Machine Learning, Deep learning, Data Science, Content extraction
Primary Internal Interactions""
- Business team/ operational leadership, and/or senior management, development and testing team
- All Technology sub-functions
Primary External Interactions
- Client Teams - especially client business & technology teams
Organizational Relationships
Skills
Technical Skills - Have worked on Cloud platform AWS/ Azure
- Hands-on experience in Python, Numpy, Panda, Scikit Learn, Spacy, PyTorch, Keras, LSTM, RNN/CNN, BERT, N-grams
- NLP/ NLU hands-on understanding, Statistical modeling, Predictive modeling
- Know-how .Net, HTML, Django, Java is plus
- Process Specific Skills - Know-how of BFSI, preferably Insurance
- Understanding/Delivery Experience in a Business Aligned IT scenarios
Soft skills (Desired) - Excellent Presentation, verbal and written communication skills
- Excellent analytical skills and aptitude for problem solving, including data analysis and validation
- Able to work independently and as part of a team
Soft Skills (Minimum) - Good verbal and written communication skills with the ability to deal at all levels of the organization
- Good listening and consultative skills
- Good negotiation, persuasion and interpersonal skills
Education Requirements:
- Post Graduate, Graduate, with degree in Engineering, M.Tech, Msc. Statistics, M A Economics
- Sound education credentials
Work Experience Requirements:
- 6-8 yrs. of total analytics experience
- 1-2 years of working experience in Insurance/ Healthcare Analytics would be good
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