EXL Service - Machine Learning/Python Modeling Role

Machine Learning & Python Modeling Role

Role Overview :

- Emphasis is on providing business insights and managing end to end project delivery

- Structure analytical solution to address business objectives and problem solving

- Translate stated or implied client needs into researchable hypotheses.

- Develop sophisticated analysis plans to test those hypotheses given data and resource availability, time, etc by using advanced machine learning algorithms

- Develop models and work towards its enhancement, monitoring and maintenance

- Effectively guide the team around problem structuring and use of analytics (tools and techniques) to carry out analysis and generate business insights.

- Facilitate client working sessions and lead recurring project status meetings

- Develop long-lasting, trusted advisor relationships with clients

- Able to work in dual shore engagement across multiple time zones

- Manage business uncertainty

- Assess customer needs, pain points, behaviors, activation levers, headroom for growth, value propositions, etc.

- Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations

- Provide quality oversight on deliverables prepared by the project team before submitting to client

Responsibilities :

- Project task and stakeholder management

- Define project deliverables, controls and ensure adherence to these

- Supervise and assist the team on project execution and delivery

- Monitor project progress and ensure adherence to client expectation

- Communications, including deck writing for business insight presentation

- Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team

- Delivery of output

- Facilitation and gathering of client feedback on problem structuring

- Understand and define business problems, get all background information and collect relevant data points

- Create solution hypothesis and get client buy in, discuss and align on end objective, timelines

- Build capabilities in junior team members

Candidate Profile :

- Bachelors/Master's degree in economics, mathematics, 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

- 4+ years experience, preferably in insurance analytics

- Strong and in-depth understanding of statistical concepts and machine learning algorithm (both supervised and un-supervised) like regression techniques, decision trees, SVM, factor reduction techniques, clustering, time series techniques etc.

- Data analysis and predictive modeling experience with advanced machine learning algorithm is a must have

- Data Reporting, Visualization experience is good to have (Experience in legal expenditure analysis is a plus)

- Prior experience in managing and delivering on end to end projects and preferable in dual shore engagement

- 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