Role Overview:

- Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, NLP to address business problems

- Experience in leading customer expectation, project planning , execution and project closure

- Experience in Python, SQL

- Good ability to handle large volumes of data independently

- Able to explain statistical and NLP concept in user friendly manner. Using effective visualization for conveying the stats model results

- The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion

- A suitable candidate should have 5-8 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity.

- Experience in life insurance preferred but not mandatory.

Key Responsibilities& Skillsets:

Technical Skillsets:

- Superior analytical and problem solving skills

- High Proficiency in Python Coding along with good knowledge of SQL

- Knowledge of using Python Libraries such as scikit-learn, scipy, pandas, numpy , nltk, matplotlib

- Deep rooted knowledge and understanding Traditional Machine Learning Algorithms &Advanced modelling techniques (e.g. Random Forest, SVM, time series etc.) and Text Analytics technique (NLTK, Genism, LDA etc.)

- Must have hands on experience of building and deploying Predictive Models

- Cloud Experience on Azure is Good To Have

- Have worked on at least one of the GIT repository management solution (Github, Bitbucket etc.)

- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision

- Good communication skill for client interaction

Data Management Skillsets:

- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred

- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).

- Strong ability to translate functional specifications / requirements to technical requirements

Candidate Profile:

- Bachelor's/Master's degree in economics, mathematics, actuarial sciences, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

- 5-8 years' experience in process improvement and automation, preferably inLifeInsurance but not mandatory

- Strong and in-depth understanding of statistics, data analytics

- Data analysis experience

- Superior analytical and problem solving skills

- Outstanding written and verbal communication skills

- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

- Is able to understand cross cultural differences and can work with clients across the globe

What we offer:

- EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.

- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth

- Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.

- We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.

- Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

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