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08/01 Jaya Laxmi
HR at Pramerica Life Insurance Limited

Views:1701 Applications:435 Rec. Actions:Recruiter Actions:326

Pramerica Life Insurance - Data Scientist/Senior Data Scientist (2-11 yrs)

Gurgaon/Gurugram Job Code: 1358946

Job Title - Data Scientist/ Senior Data Scientist

Location - Gurgaon- HO

Department - Business Intelligence Unit Based out of Head office.

Report to: Head - BIU Grade B3

A. Position Summary:

S/he will be spending most of their time analyzing data. Past trends, current conditions, etc. S/he is able to interpret large chunks of data, understand trends, analyze results, use of statistical techniques, visualization tools to give actionable insights. S/he should have worked on metrics tracking, modeling and MIS related to digital leads.

B. Key Responsibilities:

- Creating and deploying Machine Learning models

- Checking for trends and identifying anomalies

- Analyzing online user behavior, conversion data, customer journeys, funnel analysis and multi-channel attribution

- Formulate marketing hypothesis and test the same using statistical techniques

- Use models, predictive analysis to predict and determine how prospective leads should be allocated

- Working alongside teams within the business or the management team to establish business needs

- Defining new data collection and analysis processes and reporting the results back to relevant members of the business

- Established oneself as SME in a domain. i.e. : UW, Lead Nurturing, Marketing. etc. Should be able to identify KPI, metrics for the projects.

- Contribute to knowledge base and mentor team members

- Should be able to handle project independently

- Storytelling & presentation on key insights to key business stakeholders

C. Job Specifications:


- Candidate should have B.Tech in computer science, Master's/MBA is preferable

- Past experience working on Data modelling and Visualization reports/Dashboards


- Should have 2-11 years of experience in Insurance/Banking/Lending/Credit Bureau or Financial sector

- Extensive hands-on experience in working on Machine Learning models

- Extensive hands-on experience in working with Excel, SQL, PowerBI

- Extensive hands-on experience in working with Python, Pandas, Numpy, Seaborn, data modeling, feature engineering and developing ML models

- Should have good knowledge and working experience in creating reporting datasets

- Should have good knowledge and working experience in storytelling and presenting actionable insights to stake holders

- Good to have knowledge of Bank Statement, Credit data and other data sources used in Fraud Analysis - Good to have knowledge on AWS, Sagemaker, Amazon S3, Cloudwatch - Good to have knowledge in CI/CD pipelines, ML ops.

D. Key Technical Skills and Core Behavioral Competencies

- Strong experience in Reporting, Trend Analysis, Modeling

- Well versed in all relevant technologies i.e. Excel, SQL, Reporting, Dashboard, Python, Machine Learning, Feature Engineering, AWS, ML ops

- Demonstrated business orientation, correctly analyze business situation and foresee implications of major decisions with in-depth understanding of regulatory issues backed by strong business acumen

- Conceptual thinking - takes the right factors into account when developing solutions and demonstrate analytical thinking.

- Drive for results - Passion for learning and development, focuses on continuous improvement regarding work processes and able to work hard to achieve set goals.

- The candidate should possess the tact and ability to negotiate with and manage multiple stakeholders including board members, shareholders and regulatory authorities

- Strong interpersonal skills. Resourceful self-starter, proactive, results and execution-oriented team player Entrepreneurial spirit, pro-active attitude, be self-driven and detail oriented, possess excellent business judgment and excellent networking and relationship management skills

- Strong organizational skills with ability to manage multiple priorities. High energy levels, and works well under pressure to meet deadlines

- Proven ability to lead and manage projects and deliver business results, in a rapidly changing and cross-functional matrix environment

- Experience leading/managing and empowering others, and ability to work effectively in a culturally diverse international work group

- Process orientation with continuous improvement methodology

- Resourceful, pragmatic and realistic approach to analysis with limited data and time

- A sincere, well-intentioned professional with strong ethical values

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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