Data Science Engineer Jobs at Tata Consultancy Services with Visa Sponsorship
Tata Consultancy Services hires Data Science Engineers across client-facing technology engagements, internal analytics platforms, and AI-driven transformation projects. As one of the most active IT services sponsors in the U.S., TCS has an established process for supporting international candidates through H-1B, OPT, and permanent residence pathways.
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Get Access To All JobsJob Description
Must Have Technical/Functional Skills
- Advanced Python development for ML/AI workloads
- End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows
- Generative AI systems design, including LLM-based application development
- Prompt engineering optimization for large language models
- Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
- Embedding generation pipelines for semantic search and retrieval
- Vector similarity search implementation using vector databases
- ML model integration with Vector DBs and MongoDB
- Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong Fit If The Candidate
- Has expert level Python skills
- Has hands on experience building ML/GenAI systems, not just theoretical knowledge
- Has worked on end to end ML pipelines (data → model → deployment)
- Has experience with document AI, embeddings, and vector search
- Thinks like an engineer (scalable, maintainable, production ready code)
Likely Not a Fit If The Candidate Is
- Primarily a BI / reporting analyst
- Focused only on statistical modeling or academic research
- Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
- Develop and deploy machine learning and GenAI solutions using Python
- Design and optimize prompt engineering strategies for LLM-based applications
- Build document extraction, parsing, and chunking pipelines for structured and unstructured data
- Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
- Implement embedding generation and vector search solutions
- Integrate ML models with Vector DBs and MongoDB
- Ensure code quality, scalability, and production readiness
Salary Range
$95,000 - $135,000
TCS Employee Benefits Summary
- Discretionary Annual Incentive
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
- Family Support: Maternal & Parental Leaves
- Insurance Options: Auto & Home Insurance, Identity Theft Protection
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
- Time Off: Vacation, Time Off, Sick Leave & Holidays
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Qualifications
BACHELOR OF COMPUTER SCIENCE
Job Description
Must Have Technical/Functional Skills
- Advanced Python development for ML/AI workloads
- End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows
- Generative AI systems design, including LLM-based application development
- Prompt engineering optimization for large language models
- Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
- Embedding generation pipelines for semantic search and retrieval
- Vector similarity search implementation using vector databases
- ML model integration with Vector DBs and MongoDB
- Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code
Roles & Responsibilities
We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Strong Fit If The Candidate
- Has expert level Python skills
- Has hands on experience building ML/GenAI systems, not just theoretical knowledge
- Has worked on end to end ML pipelines (data → model → deployment)
- Has experience with document AI, embeddings, and vector search
- Thinks like an engineer (scalable, maintainable, production ready code)
Likely Not a Fit If The Candidate Is
- Primarily a BI / reporting analyst
- Focused only on statistical modeling or academic research
- Lacking experience with deployment, pipelines, or GenAI systems
Key Responsibilities
- Develop and deploy machine learning and GenAI solutions using Python
- Design and optimize prompt engineering strategies for LLM-based applications
- Build document extraction, parsing, and chunking pipelines for structured and unstructured data
- Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
- Implement embedding generation and vector search solutions
- Integrate ML models with Vector DBs and MongoDB
- Ensure code quality, scalability, and production readiness
Salary Range
$95,000 - $135,000
TCS Employee Benefits Summary
- Discretionary Annual Incentive
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
- Family Support: Maternal & Parental Leaves
- Insurance Options: Auto & Home Insurance, Identity Theft Protection
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
- Time Off: Vacation, Time Off, Sick Leave & Holidays
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Qualifications
BACHELOR OF COMPUTER SCIENCE
See all 23+ Data Science Engineer at Tata Consultancy Services jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Tata Consultancy Services Jobs
Align Your Degree to TCS Role Requirements
TCS typically files H-1B petitions for Data Science Engineers under specialty occupation standards, requiring a directly related degree. A computer science, statistics, or engineering credential strengthens your petition far more than a loosely related field.
Target TCS Delivery Centers by Practice Area
TCS staffs Data Science Engineers across specific practice verticals like AI, cloud, and analytics. Applying directly to openings tied to a named practice increases your chances of landing a client-billable role that qualifies for sponsorship.
Browse Open Roles Using Migrate Mate
Search Data Science Engineer openings at TCS on Migrate Mate to filter specifically for visa-sponsoring positions. It saves time sorting through postings that don't match your authorization needs before you even reach the recruiter stage.
Clarify LCA Worksite Details Before Signing
TCS places engineers at client sites, which means your Labor Condition Application worksite address may differ from TCS headquarters. Confirm the filing reflects your actual work location, since a mismatch can create compliance issues with DOL requirements.
Understand PERM Timing for EB-2 and EB-3
TCS sponsors permanent residence for qualified engineers, but PERM labor certification with DOL can take 18 months or longer before an I-140 is filed. Ask your recruiter when TCS typically initiates PERM for Data Science Engineers to set accurate expectations.
Data Science Engineer at Tata Consultancy Services jobs are hiring across the US. Find yours.
Find Data Science Engineer at Tata Consultancy Services JobsFrequently Asked Questions
Does Tata Consultancy Services sponsor H-1B visas for Data Science Engineers?
Yes, Tata Consultancy Services sponsors H-1B visas for Data Science Engineers. TCS is one of the most active H-1B petitioners in the IT services sector, and Data Science Engineer roles fall squarely within the specialty occupation category. Sponsorship is typically initiated after a full-time offer is extended and the role passes internal review.
How do I apply for Data Science Engineer jobs at Tata Consultancy Services?
Apply through TCS's careers portal or browse open Data Science Engineer positions on Migrate Mate, which filters specifically for visa-sponsoring roles. When applying, tailor your resume to the practice area or technology stack listed in the posting. TCS recruiters commonly screen for client-facing analytics and machine learning experience, so specificity helps your application move forward.
Which visa types does TCS use for Data Science Engineers?
TCS sponsors H-1B visas as the primary work authorization path for Data Science Engineers. They also work with F-1 OPT and CPT for students in active academic programs, and TN visas for Canadian and Mexican nationals in qualifying technical roles. For long-term employees, TCS initiates EB-2 or EB-3 Green Card sponsorship through PERM labor certification with the DOL.
What qualifications does TCS expect for Data Science Engineer roles?
TCS generally expects a bachelor's or master's degree in computer science, data science, statistics, or a closely related field. Hands-on experience with machine learning frameworks, SQL, Python, and cloud platforms is common across postings. For H-1B sponsorship, your degree must be directly related to the specific role, so a broad or unrelated credential can complicate the petition even with strong work experience.
How do I understand the timeline from offer to H-1B approval at TCS?
After an offer is signed, TCS initiates the H-1B process with USCIS, which includes filing during the annual lottery window each March for an October 1 start date. Standard processing takes three to five months after selection. Premium processing through USCIS reduces the adjudication window significantly if your start date is time-sensitive. Budget at least six months from offer to authorized start when planning your transition.
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