Vice President - Data Scientist

Tata AIA Life Insurance; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading insurance company in Bengaluru is seeking a Vice President - Data Scientist to lead advanced analytics initiatives. The ideal candidate will manage a team of over 20 data scientists and have 16+ years of experience in advanced analytics and data science. The role involves stakeholder management, project delivery, and ensuring high quality standards in analytics solutions.

Qualifications

• 16+ years of experience in advanced analytics, running data science function.
• Ability to design and review new solution concepts and lead delivery of analytics solutions.
• Strong understanding of statistical concepts.

Responsibilities

• Manage stakeholder interactions through regular updates and grow engagement.
• Design, plan, and scope projects with stakeholders.
• Manage end-to-end project deliverables adhering to timelines and budgets.

Skills

Data processing and data science libraries of Python

Experience with Apache Spark

Experience in machine learning and deep learning

Statistical concepts

Creative thinking skills

Education

Graduate/Postgraduate degree from Tier-I/II colleges

Tools

Azure

AWS

Job description

Join to apply for the Vice President - Data Scientist role at Tata AIA Life Insurance

Join to apply for the Vice President - Data Scientist role at Tata AIA Life Insurance

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. He/she should have setup and managed large, scaled Business intelligence unit

BOrganizational Relationships

Reports to

SVP

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 through regular updates and grow stakeholder engagement with channel partners.

· Design, plan, and scope projects with stakeholders.

· Explain project methodology and project approach to required stakeholders.

· Project Management and Training

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

· Ensure adherence to Standard Operating Procedures and maintain updated relevant documents.

· Work with junior team members on projects and coach them on-the-job.

· Conduct in-house training based on team requirements.

Delivery

· Strong experience in multi-scale, multi- geography experience of setting up and managing a team of 20+ data scientists.

· Manage the entire delivery process and be responsible for all aspects of a project to ensure high-quality standards.

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

Competency For

Eg

Business Acumen and Strategic Orientation Ability to align with the organization's vision with a fair understanding of the insurance industry, regulations, financial marketsand the agency business model in order to deliver profitable and sustainable business growth.

3

Has an in-depth understanding of the market of operations and proposes changes if required as per market dynamics. Understands how and to what extent business complexities impacts one's own area of work. Is able to identify trends and analyze performance of self and various branches in one's geography. Has expert knowledge of BA model, BA compensation and Agent commission and progression and uses it to deliver superior performance. Is able to device plans to recruit, develop and sustain distributors on a long term basis with organization. Strives towards achieving proportionate business contribution from all the branches of assigned territory.

GSkills Required

Technical

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

· Experience and understanding of working with massive datasets locally/ distributed using tools such as Apache Spark, and familiarity with packages like Vaex, and Dask, and using these datasets to train and develop and train machine learning algorithms.

· Knowledge of analytical models such as promotion optimization, Natural Language Processing (NLP) including experience in (BERT and DisilBert Models), Cluster Analysis, Segmentation, Next best recommendation, Neural network models, Logistic Regression (Fraud Models, Lapsation etc),ANN based model, LSTM, Transformers, Attention Models, Bagging and boosting, Generative model,

· Experience with cloud-based analytics platforms, such as Azure, GCP, or AWS.

· Familiarity with automated training, deployment, and monitoring of models in production using ML-Ops pipelines.

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

· Experience in machine learning and deep learning.

· Deep expertise in Python, SAS.

Behavioral

Interpersonal skills

Creative thinking skills

Teamwork Skills

Relationship Building skills

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

16+ years of experience in advanced analytics, running data science function

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Insurance

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