About the Role:

As a Data Scientist, you'll be a key player in driving data-driven decision-making and innovation. You'll leverage your expertise in data analysis and machine learning to uncover valuable insights from complex datasets. Your work will have a direct impact in the entire customer lifecycle from Lead Management to Credit Decisioning to Collections & Monitoring.

Responsibilities:
Collect, clean, and analyze large sets of structured and unstructured data to extract meaningful insights and trends
Develop and implement advanced machine learning algorithms to solve complex business problems
Support moving models to production, by creating high quality code modules that can be seamlessly integrated into existing systems (both on-prem and cloud)
Communicate complex findings to both technical and non-technical audiences through effective data visualization and storytelling.
Collaborate with cross-functional teams to identify data-driven opportunities and translate business requirements into actionable data solutions.




Support the development and maintenance of data pipelines and infrastructure
Stay up-to-date with industry trends and advancements in Data Science and Machine Learning technologies

Skills Required:
Robust foundation in statistics, and machine learning algorithms
Robust proficiency in programming languages like Python and SQL.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.
Should have built production models using at least 2 of the ML techniques: Clustering, Regression, Classification
Experience in Banking & Financial Services is preferred.
Experience working on cloud platforms (e.g., AWS, GCP) is preferred.
A passion for data and a curiosity to explore recent trends and technologies

Education Requirements: Graduate-level qualification in Engineering /Data Science

Work Experience: 3+ years of relevant experience in data science and analytics, with a track record of developing and deploying ML models into production.

📌 Data Scientist Chennai
🏢 Saaki Argus And Averil Consulting
📍 Chennai