Senior Consultant - Analytics - Insurance

Technical and domain expertise-

Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc

Execution excellence -

Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

Job Responsibilities:

Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.

Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.

Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches

Firm building: Contribute to firm growth by participating and conducting training sessions.

Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management

Is Articulate and has good communication skills

The Person:

Experience:

The overall experience of Minimum 6 to 9 years with at least 4 to 9 years of hands-on experience in running Advanced analytics projects

- High proficiency in concepts and algorithms used in design of experiments.

- Expert-level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM etc.

- Good to have working experience in one or more of Probabilistic graphical models, Reinforcement learning, NLP and related areas

- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc

- SAS knowledge is an additional advantage

- Problem-solving, Project management, and communication skills & Creative thinking

- Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management

- Property and Casualty Insurance Industry Experience of a minimum of 2.5 years

Education:

- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent