Pramerica Life Insurance - Data Scientist/Senior Data Scientist

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:

Qualifications:

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

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

Experience:

- 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