Manager - Data Scientist

3 months ago


Thane, India Tata AIA Life Insurance Full time

Job Description

A Position Overview

Position Title

Manager - Data Science

Department

TDABSG

Level/ Band

AM/Manager

Role Summary : He or She will be responsible for advancing analytics opportunities in the BFSI* sector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients.

BOrganizational Relationships

Reports to

SM/AVP/VP

Supervises

NA

CJob Dimensions

Geographic Area Covered

Pan India

Stakeholders Internal

TDA-BSG and all other TATA AIA internal departments

External

Partners

DKey Result Areas

Stakeholder Management

·Manage stakeholder interactions by having regular updates and growing stakeholder engagement (., with channel partners).

·Design, plan, and scope out projects with stakeholders.

·Explain project methodology and approach to required stakeholders.

·Project Management and Training

·Manage end-to-end project deliverables by adhering to timelines, budgets, and stakeholder expectations.

·Ensure Standard Operating Procedures are followed and relevant documents are maintained.

Delivery

·Collaborate and consulting team members and discuss with internal clients to help them sharpen their business strategy by implementing analytical models..

·Understand business problems and address them to solve client issues.

GSkills Required

Technical

·Experience working on projects end-to-end, not just POCs.

·Expertise in machine learning and deep learning.

·Deep expertise in either R, Python, or SAS.

·Good understanding of different DBMS and SQL

·Experience with cloud-based analytics platforms (Azure, GCP, AWS) is a plus

Additional Skills:

·Data processing and data science libraries of Python (NumPy, Pandas, Scikit learn, .

·Experience and understanding of working with massive datasets

·Building ML algorithms from scratch in Python, SAS or R

·Knowledge of various analytical models, including:

1.Cluster Analysis

2.Logistic Regression (including fraud detection and lapsation models)

3.Segmentation and Clustering

4.Next best recommendation

5.Neural network models (ANN, RNN, CNN)

6.Bagging and boosting

7.Generative models

Behavioral

Essential

Desired

Interpersonal skills

Communication skills

Creative thinking skills

Supervising/Leadership skills

Teamwork Skills

Influencing skills

Relationship Building skills

Decision making skills

HIncumbent Characteristics

Essential

Desired

Qualification

1. Graduate/Postgraduate degree from Tier-I/II colleges.

2. Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients.

3. Strong understanding of statistical concepts.

Experience

5-7 years of experience in advanced analytics.


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