A
Position Overview
Position Title
Data Science
Department
TDABSG
Level/ Band
VP Role Summary
:
He or She will be responsible for advancing analytics opportunities in the BFSIsector, 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 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 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. ECompetencies
Competency For
Proficiency Scale
Proficiency Scale Description
Eg
Business Acumen and Strategic Orientation
Ability to align with the organizations vision with a fair understanding of the insurance industry, regulations, financial markets and 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 ones own area of work.
Is able to identify trends and analyze performance of self and various branches in ones 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
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
16+ years of experience in advanced analytics, running data science function
