Senior Data Scientist

LTM; Tampa (FL); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical plan

Disability insurance

401(k) with match

Life insurance

Vacation & holidays

Paid parental leave

Job summary

LTIMindtree is seeking a Senior Data Scientist specializing in Generative AI to advance AIML initiatives in the Finance domain. You will design and deploy GenAI solutions, including RAG-enhanced systems and LLM-driven applications, leveraging LangChain and vector databases.

We value strong Python expertise (TensorFlow, PyTorch, pandas) and experience building end-to-end AI projects from data prep to production monitoring. Tampa, FL-based position with a collaborative, innovation-driven culture.

Qualifications

• Bachelor's in Computer Science or a closely related field.
• Master's degree or PhD preferred.
• 6–8+ years of experience in AIML solution development.
• Minimum 2 years of Generative AI experience.
• Proven experience deploying GenAI solutions.

Responsibilities

• Design, develop and implement Generative AI solutions for Finance AIML projects.
• Lead RAG integration to improve accuracy and context.
• Develop and refine LLM-based solutions with prompt engineering and finetuning.
• Use table transformers and Python packages to process financial data.
• End-to-end GenAI development from data prep to deployment and monitoring.
• Collaborate with cross-functional teams for integration.
• Stay updated with GenAI advancements and contribute to innovation.
• Communicate technical findings clearly to technical and non-technical audiences.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Education

Bachelor's in Computer Science or related field

Master's degree or PhD preferred

Tools

LangChain

LlamaIndex

VectorDBs

Job description

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.

Responsibilities

• 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 finetuning.
• 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.

Qualifications

• 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.

Deep Understanding of

• Retrieval‑Augmented Generation (RAG).
• Large Language Models (LLMs) and their applications.
• Prompt engineering and finetuning techniques.
• Vector databases and similarity search.
• LangChain, LlamaIndex 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.

Technical & Soft‑Skill Requirements

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

Preferred Qualifications

• 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.

What to Expect

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

Benefits & 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.

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: 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.