Senior Data Scientist
Role details
Job location
Tech stack
Requirements
- 6 years of relevant experience in an Engineering Python Development Data Architecture or Data Pipeline role
- Experience working in Financial Services or a large complex and global environment
- Experience with data engineering and data analysis using Python AI LLM modules
- Develop foundational components and mature technology capabilities for data engineering in AI and LLMs
- Proficiency in programming languages such as Python While Python remains foundational a growing portion of development leverages GenAI coding tools
- Work in a fast-paced environment tackling cutting edge problems by constantly testing and learning
- Understanding of large language models transformers agentic frameworks
Skills Mandatory Skills : Machine Learning - AIOPS, Python
Benefits & conditions
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation., Compensation range: $86,031.00 to $113,900.00 per year