Lead - Data Science
1 week ago
Experience:
12- 16 Years
About the Role:
We are looking for a seasoned professional with deep expertise in analytics and AI, particularly within the BFSI domain. The ideal candidate will bring strong hands-on experience in Python-based statistical and machine learning model development, along with exposure to AWS AI stack and GenAI technologies.
This role requires a self-driven individual with the ability to explore, learn, and apply emerging AI technologies to solve complex business problems and enhance decision-making capabilities.
Key Responsibilities:
- Design, develop, and deploy
statistical and machine learning models
to address business challenges across the BFSI sector. - Work on
end-to-end model lifecycle
— data exploration, feature engineering, model building, validation, and performance monitoring. - Leverage
AWS AI/ML services
, including hands-on work within the
AWS Bedrock ecosystem
, to build and scale AI solutions. - Experiment with and adopt
Generative AI (GenAI) tools and frameworks
to create innovative applications and business solutions. - Collaborate with cross-functional teams to translate business needs into technical requirements and actionable insights.
- Stay updated with advancements in AI/ML and contribute to the continuous improvement of analytics capabilities.
- Mentor junior team members and foster a culture of data-driven innovation.
Required Qualifications & Skills
- 12-16 years
of experience in
Analytics, Data Science, or AI
, preferably within the
BFSI domain
. - Educational background in
Computer Science, Statistics, or Data Science
. - Strong programming experience in
Python
with proficiency in libraries such as
Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
. - Hands-on experience with
AWS AI stack
(SageMaker, Bedrock, etc.). - Sound understanding of
machine learning algorithms
,
statistical modeling
, and
data handling techniques
. - Exposure to
GenAI tools and frameworks
and ability to explore new AI technologies. - Strong analytical and problem-solving skills with an ability to translate data insights into business actions.
- Excellent communication, collaboration, and stakeholder management skills.
- Demonstrated
aptitude for learning
and being a
team player
in a dynamic, fast-paced environment.
Preferred Qualifications
- Prior experience working on
AI-driven solutions
in the BFSI sector. - Knowledge of
LLM integration
or
prompt engineering
for GenAI applications. - Experience with
cloud-based model deployment
and
MLOps practices
.
Why Join Us
- Opportunity to work on cutting-edge AI initiatives in the BFSI industry.
- Exposure to advanced technologies such as
AWS Bedrock and Generative AI
. - Collaborative, growth-oriented, and innovation-driven work culture.
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