Role Brief: 2+ years in Advanced Analytics using Python/R in Insurance domain.

Key competencies:

- Problem solving skills Strong problem-solving skills to transform client requirements in to structured business problems and work with client team to design solutions that meet client needs

- Technical and domain expertise- Expertise in Python/R & advanced analytics/Statistics Techniques such as generalized linear models, logistic regression, machine learning, ANOVA, decision trees, Bayesian, etc.

- Execution excellence - Ensure regular client updates & meetings, proper documentation, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.

Job Responsibilities:

- Interface with clients to understand client requirements for the project

- 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.

- Articulate and document project requirements and client meetings

- Communicate project results in the clients business context

- Seek client feedback after each delivery and learn and apply insights on subsequent projects

- Provide assistance on opportunities to grow the client along with the team lead and senior leadership. Support the sales team as required for RFPs and regular sales pitches

- Contribute to firm growth by participating and conducting training sessions.

Experience:

Must Have:

2-3 years years of relevant Analytics experience with at least 1 year of experience in Insurance domain

- Strong problem-solving skills

- Proficient in Python/R and understanding of analytics/Statistics Techniques such as generalized linear models, logistic regression etc.

- Excellent written and verbal communication

- Attention to detail and passion for accuracy

Good to Have:

- Experience in building advanced statistical models using machine learning, ANOVA, decision trees, Bayesian, etc.

- Certifications in P&C Insurance domain like Actuaries, CAS, AINS etc.

Education:

Graduate in Computer Science, Mathematics, Operational research, Information Science, Engineering, Statistics. (MS or MBA preferred)

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