Senior Data Scientist

This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI. We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain.

• Design, develop and implement cutting‑edge Generative AI solutions for various AIML projects in Finance, building upon existing foundations.
• Lead the integration of Retrieval‑Augmented Generation (RAG) techniques to enhance the accuracy and context awareness of our AI systems.
• Develop and refine Large Language Model (LLM)-based solutions, leveraging expertise in prompt engineering and fine tuning.
• Utilize table transformers and other advanced Python packages for extracting and processing complex financial data.
• Work end‑to‑end on GenAI solutions from data preprocessing and model development to deployment and monitoring.
• Collaborate with cross‑functional teams to ensure seamless integration of AI solutions into existing workflows.
• Stay up‑to‑date with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts.
• Communicate technical concepts and findings clearly and effectively to both technical and non‑technical audiences.

• Bachelor’s in Computer Sciences or a related field.
• Master’s degree or PhD in Data Science, Computer Science, or a related field is preferred.
• Proven experience of 68 years in developing and deploying AIML solutions in real‑world settings.
• Minimum 2 years of experience specifically with Generative AI solutions.
• Proven experience in developing and deploying Generative AI solutions in real‑world settings.

• Retrieval‑Augmented Generation (RAG).
• Large Language Models (LLMs) and their applications.
• Prompt engineering and fine tuning techniques.
• Vector databases and similarity search.
• Lang Chain, Llama Index or similar frameworks for building GenAI applications.
• MLOps principles and practices for deploying and managing AI models.
• Transformer models such as BERT, GPT.
• Agentic AI understanding.
• Model evaluation metrics for GenAI.

• Strong programming skills in Python, with experience in Tensor Flow, PyTorch, scikit‑learn, Pandas, Num Py.
• Excellent communication, collaboration, and problem‑solving skills.
• Hands‑on experience with end‑to‑end AI project development and deployment.

• Formal coursework or certifications in Data Science.
• Experience in the financial services industry.
• Familiarity with cloud computing platforms such as AWS, Azure, GCP.
• Contributions to open‑source AI projects.

• Opportunity to work on cutting‑edge AI projects.
• Collaborative and innovative work environment.

• 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.

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

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.

Disclaimer
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The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectionate or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.