Data Scientist – Product Development

Experience: 3.00 + years

Salary: INR 1200000 / year (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - GRADATIM)

What do you need for this opportunity?

Must have skills required:

Experience with AI/ML tools and frameworks, NLP, AI/ML, R Python

GRADATIM is Looking for:

Job Title - Data Scientist – Product Development

Domain - Insurance

Required Experience - 3 To 4 Yrsr

CTC - 12 Lpa

Notice Period - Immediate Joiner

Location - Remote

Company- Aureus Analytics

Location - Bangalore, Chennai

Position Summary :

Seeking a technical Data Scientist to build, implement, and integrate advanced ML/AI solutions (model development, data analysis, AI features) into insurance products, collaborating across teams.

Key Responsibilities :

• ML/Model Development: Design, build, optimize ML models (risk, fraud, claims, underwriting) using various algorithms; feature engineering, tuning, validation.
• Data Engineering: Process data, build/optimize ETL pipelines using cloud platforms (AWS/Azure/GCP).
• Algorithm Implementation: Develop/optimize AI/ML algorithms (incl. Deep Learning, RL) for production.
• Integration/Deployment: Deploy models (API/microservices), use MLOps, collaborate with DevOps/Eng.
• Research & Innovation: Stay updated on AI/ML trends, experiment with tools.
• Collaboration & Documentation: Work with PMs/Engineers, document processes, communicate findings.
  
  
  

Required Education

Master’s or Bachelor’s in Data Science, Computer Science, Statistics, or related field.

Required Technical Skills

• Programming: Python or R (strong proficiency)
• ML Libraries: TensorFlow, PyTorch, Scikit-learn
• Data: SQL, NoSQL, Data Pipelines (Spark, Hadoop, Airflow)
• Cloud ML: AWS SageMaker, Azure ML, or GCP Vertex AI
• MLOps: Familiarity (e.g., MLflow, Kubeflow, TensorBoard)
  
  
  

Required Knowledge

Model evaluation metrics, statistical analysis, optimization techniques.

Preferred Skills

• Experience in NLP, Computer Vision, Deep Learning (for insurance).
• Familiarity with Graph Analytics (for fraud/network analysis).
• Knowledge of insurance processes or financial risk modeling.
  
  
  

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!