India stands out as a go-to spot for data science outsourcing - plenty of skilled teams handle AI models, analytics projects, and everything in between for companies worldwide. Businesses often turn here because the talent pool runs deep, costs stay reasonable, and results come through without much drama. It's a practical choice when in-house data work gets overwhelming or needs a quick boost.

1. NeoWork

We at NeoWork, fit right into the scene of data science outsourcing companies in India by connecting clients with skilled data science pros through our IT & Development staffing model, pulling talent from the country's rich tech pool to tackle machine learning builds, data pipelines, cloud setups, and whatever else comes up in those projects. Companies usually come to outfits like ours when they want solid backup for coding sessions, training models, or sorting infrastructure without getting bogged down in months of recruiting.

We handle the whole search for talent, perks, upskilling, and keeping everyone motivated, leaving clients free to just guide the daily work. In the broader picture of data science outsourcing companies in India, what keeps things steady for us is a high teammate retention rate of 91% on an annualized basis – so teams hang together way longer than usual – along with a tough 3.2% candidate selectivity rate that means we only let through a handful of applicants after really thorough checks.

Key Highlights:

• Provides individual data science contributors or managed teams
• Manages full recruitment, onboarding, and retention logistics
• Allows scaling up or down based on project needs
• Supports both single-role hires and larger department-style groups

Services:

• IT & Development (data science, AI engineering, cloud roles)
• AI Training & MVP Solutions
• Data-focused tech staffing
• Managed operations for data and AI workflows

Contact and Social Media Information:

• Website: www.neowork.com
• Facebook: www.facebook.com/neoworkteam
• LinkedIn: www.linkedin.com/company/neoworkteam
• Instagram: www.instagram.com/neoworkteam

2. eSparkBiz

eSparkBiz works with clients who want to bring data science into their setup, pulling from India's tech scene to build out analytics and AI tools. The focus stays on fitting these pieces into ongoing operations so decisions get sharper based on real data patterns.

Projects often involve blending machine learning with custom software, which keeps things flexible as needs shift. Collaboration happens smoothly since teams slot right into client processes, making complex data tasks feel less scattered.

Key Highlights:

• Dedicated developers handle data-focused work
• AI gets woven into broader development flows
• Covers projects from initial concepts through rollout
• Stresses tight teamwork with client groups

Services:

• Artificial Intelligence and Data Science
• Machine Learning
• Generative AI Development and Integration
• Hire Data Scientists
• AI Consulting

Contact and Social Media Information:

• Website: www.esparkinfo.com
• E-mail: career@esparkinfo.com
• Facebook: www.facebook.com/esparkbiz
• Twitter: x.com/esparkbiz
• LinkedIn: www.linkedin.com/company/esparkinfo
• Instagram: www.instagram.com/esparkbiz
• Address: 1001 - 1009, 10th floor, City Center 2, Science City Rd, Sola, Ahmedabad, Gujarat - 380060
• Phone: +91 9023728517

3. Infosys

Infosys steps in for clients needing data science support, drawing on India's engineering strength to roll out AI and analytics setups that fit enterprise demands. The emphasis lands on processing large datasets and pulling out insights that actually move the needle for strategy.

A noticeable part involves guiding full AI rollouts, where existing systems get upgraded step by step. This setup avoids big overhauls and lets organizations build on what already runs.

Key Highlights:

• Handles large-scale AI deployments
• Builds from solid digital transformation base
• Works with partners to push AI forward
• Delivers tools for turning data into value

Services:

• AI and Data Analytics
• Applied Artificial Intelligence
• Generative AI Solutions
• Data Engineering and Analytics
• AI Consulting and Roadmap

Contact and Social Media Information:

• Website: www.infosys.com
• Facebook: www.facebook.com/Infosys
• Twitter: x.com/Infosys
• LinkedIn: www.linkedin.com/company/infosys
• Address: Plot No. 44/97 A, 3rd cross, Electronic City, Hosur Road, Bengaluru - 560 100
• Phone: +91 80 2852 0261

4. Wipro

Wipro supports organizations looking for data science outsourcing, making use of India's resources to supply AI-powered services that refine data handling. Efforts center on applying these methods to everyday business scenarios so processes run smoother.

An interesting angle comes from mixing AI with consulting layers, giving a fuller picture during outsourcing. This helps ensure data science supports core performance rather than sitting off to the side.

Key Highlights:

• Pairs AI with analytics for solid business intelligence
• Builds platforms that scale easily
• Prioritizes reliable AI approaches
• Teams up for fresh data solution ideas

Services:

• AI Data Analytics
• Big Data and Analytics Consulting
• Artificial Intelligence Solutions
• Machine Learning and Automation
• Generative AI Advisory

Contact and Social Media Information:

• Website: www.wipro.com
• E-mail: info@wipro.com
• Facebook: www.facebook.com/WiproLimited
• LinkedIn: www.linkedin.com/company/wipro
• Instagram: www.instagram.com/wiprolimited
• Address: Doddakannelli, Sarjapur Road, Bengaluru - 560035
• Phone: +91 (80) 61427999

5. Accenture

Accenture handles data science outsourcing for various clients, making use of resources in India to roll out AI and analytics that support broader business changes. The work typically covers building data foundations, applying predictive models, and weaving in generative AI where it makes sense for operations.

A lot of their approach involves sorting out data readiness issues first, so AI tools run smoother later on. This helps companies move from scattered data setups to more unified ones that actually drive decisions.

Key Highlights:

• Blends data science with engineering for operational workflows
• Focuses on preparing data for AI applications
• Scales generative AI across different enterprise needs
• Addresses responsible AI practices in projects

Services:

• Data and AI Services
• Industrial AI
• Generative AI Solutions
• AI Strategy and Consulting
• Responsible AI Implementation

Contact and Social Media Information:

• Website: www.accenture.com
• LinkedIn: www.linkedin.com/company/accenture
• Address: West Wing, Venus Stratum, Venus Grounds, Nr. Jhansi Ki Rani, Nehrunagar, Ahmedabad, Gujarat, India, 380015
• Phone: +919511764415

6. IBM

IBM supports data science outsourcing needs by drawing on India's talent to offer AI consulting and analytics that fit into enterprise environments. Their efforts often include preparing data pipelines, building models, and integrating agentic AI for more automated processes.

Something noticeable is the emphasis on governance and strategy alongside the technical side, which keeps things aligned with business goals and reduces risks as projects scale. It creates a path for clients to adopt AI without major disruptions.

Key Highlights:

• Prepares data specifically for AI use cases
• Integrates agentic AI for transformation
• Covers strategy, governance, and integration
• Applies AI across sectors like finance and operations

Services:

• AI Consulting Services
• Data Services and Analytics
• Agentic AI Solutions
• AI Governance
• AI Integration

Contact and Social Media Information:

• Website: www.ibm.com
• E-mail: rccindia@in.ibm.com
• Twitter: x.com/ibm
• LinkedIn: www.linkedin.com/company/ibm
• Instagram: www.instagram.com/ibm
• Address: IBM India Pvt Ltd No.12, Subramanya Arcade, Bannerghatta Main Road, Bengaluru India - 560 029
• Phone: +91-80-4011-4047

7. HCLTech

HCLTech provides data science outsourcing options to companies, utilizing India's setup to deliver AI and generative AI that speed up processes and handle data challenges. The focus lands on automation, insights from data, and tying these into cloud or engineering workflows.

Clients often get help identifying where AI fits best in their operations, with solutions that aim to cut down manual work and improve outcomes over time. It tends to blend consulting with hands-on delivery for practical results.

Key Highlights:

• Targets AI opportunities for process acceleration
• Builds on AI labs and platforms for delivery
• Combines AI with cloud and engineering
• Supports scalable data analytics implementations

Services:

• AI and Generative AI Services
• AI Consulting
• Data Analytics Solutions
• AI Force Platform
• Industry AI Applications

Contact and Social Media Information:

• Website: www.hcltech.com
• E-mail: rohankurianv@hcltech.com
• Facebook: www.facebook.com/HCLTechOfficial
• Twitter: x.com/hcltech
• LinkedIn: www.linkedin.com/company/hcltech
• Instagram: www.instagram.com/hcltech
• Address: Office no 13B-100, 113 & 114, C-20, G Block Rd, G Block BKC, Bandra Kurla Complex, Bandra East, Mumbai, Maharashtra 400051

8. Genpact

Genpact takes on data science outsourcing for clients who need to make better use of their information, pulling from India's resources to handle AI and analytics in areas like finance or operations. They often mix these with automation and process tweaks so data turns into something actionable without overcomplicating things.

Clients tend to lean on them for sorting out data flows and applying AI where it cuts down manual steps or spots patterns quicker. The setup works well when companies want to layer intelligence onto existing workflows rather than rip everything apart.

Key Highlights:

• Ties data services into finance and risk management
• Applies AI for process improvements
• Focuses on insight-driven approaches
• Handles data alongside operational changes

Services:

• Data Services
• Artificial Intelligence
• Analytics Solutions
• AI Implementation
• Data-Driven Process Optimization

Contact and Social Media Information:

• Website: www.genpact.com
• E-mail: DPO.Genpact@Genpact.com
• Facebook: www.facebook.com/ProudToBeGenpact
• Twitter: x.com/genpact
• LinkedIn: www.linkedin.com/company/genpact
• Address: Tower 5A, 1st Floor Pritech Park SEZ Bellandure Village, Outer Ring Road Varthur, Bangalore - 560037 Karnataka
• Phone: +91 80 39467601

9. Deloitte

Deloitte steps in for data science outsourcing by drawing on India's talent pool to deliver AI, data engineering, and analytics that fit into bigger consulting projects. Their work covers building data platforms, running models, and using AI to support decisions across different sectors.

One thing that comes up is how they blend these technical pieces with strategy advice, which helps clients figure out where data efforts actually pay off. It keeps projects grounded instead of chasing every new tool that pops up.

Key Highlights:

• Combines AI and data with engineering focus
• Supports data readiness for AI applications
• Integrates analytics into business strategy
• Covers risk and compliance angles with data

Services:

• Engineering, AI and Data
• Artificial Intelligence Services
• Data Analytics
• AI Consulting
• Data Engineering

Contact and Social Media Information:

• Website: www.deloitte.com
• Facebook: www.facebook.com/Deloitte
• Twitter: x.com/deloitte
• LinkedIn: www.linkedin.com/company/deloitte
• Address: St Regus, Sec 17 A 3rd & 4th Floor Chandigarh 160017 India
• Phone: +91 124 629 5000

10. KPMG

KPMG provides data science outsourcing options to organizations, making use of India's setup to offer AI and technology services that tackle data challenges head-on. They usually get involved in scaling AI, managing data for insights, and tying it into transformation efforts.

A practical side shows in how they address real-world hurdles like governance or integration, so AI doesn't just sit in a lab but actually runs in daily operations. This helps companies move forward without getting stuck on basics.

Key Highlights:

• Focuses on AI scaling and responsible use
• Blends data with technology modernization
• Supports analytics for value creation
• Handles data in transformation projects

Services:

• AI and Technology Services
• Data Analytics
• Artificial Intelligence Solutions
• AI Consulting
• Data Management

Contact and Social Media Information:

• Website: kpmg.com
• E-mail: privacy@kpmg.com
• Facebook: www.facebook.com/KPMG
• Twitter: x.com/kpmg
• LinkedIn: www.linkedin.com/company/kpmg
• Address: Chandigarh Elante Offices, Unit No. A505, 5th Floor, Plot No.178-178A, Industrial Area Phase -1

11. Fractal

Fractal works with clients who run into roadblocks scaling AI beyond small tests, using India's resources to build out enterprise-level solutions that fit supply chains, customer interactions, or operational decisions. Their setup combines AI know-how with engineering and design so things actually roll out without falling apart halfway.

What stands out is the push toward making AI practical across functions instead of staying stuck in pilot mode. They tend to focus on integration and adoption so the tools stick around and deliver consistent value over time.

Key Highlights:

• Tackles scaling AI for enterprise use
• Blends AI with engineering and user-centered design
• Targets industry-specific problems like supply chain or customer engagement
• Emphasizes practical implementation over experimentation alone

Services:

• AI-powered Decision Solutions
• Scalable AI Platforms
• Data Engineering and Integration
• AI Consulting and Strategy
• Industry-tailored AI Applications

Contact and Social Media Information:

• Website: fractal.ai
• E-mail: investorrelations@fractal.ai
• Twitter: x.com/fractalai
• LinkedIn: www.linkedin.com/company/fractal-analytics
• Address: Level 7, Commerz II, International Business Park, Oberoi Garden City,Off. W. E.Highway, Goregaon (E), Mumbai City, Mumbai, Maharashtra, India, 400063
• Phone: +91 22 6850 5800

12. LatentView

LatentView supports organizations looking to outsource data and analytics work, drawing from India's talent to deliver insights that guide better decisions in areas like demand forecasting or operational tweaks. They often step in for Fortune-level clients who want data approaches centered on real business outcomes rather than just tech for tech's sake.

Clients usually turn to them when they need sharper accuracy in predictions or smoother processes that free up resources elsewhere. The approach keeps things grounded in practical improvements, mixing analytics with domain understanding so results feel relevant.

Key Highlights:

• Focuses on actionable insights from data
• Helps improve forecasting and operational metrics
• Works across industries like retail, tech, and CPG
• Stresses data-centric methods for decision support

Services:

• Data Analytics and Insights
• AI and Machine Learning Solutions
• Data Engineering
• Predictive Analytics
• Business Intelligence

Contact and Social Media Information:

• Website: www.latentview.com
• E-mail: privacy@latentview.com
• Facebook: www.facebook.com/LatentView
• Twitter: x.com/latentview
• LinkedIn: www.linkedin.com/company/latentview-analytics
• Instagram: www.instagram.com/lifeatlatentview
• Address: Unit 6,7,8, 5th Floor, Neville Tower, Block A3, Ramanujan IT City SEZ, Rajiv Gandhi Salai (OMR), Taramani Road, Taramani, Chennai, TamilNadu-600113 India

13. Tiger Analytics

Tiger Analytics handles data science outsourcing for companies facing tough analytical problems, leveraging India's setup to bring together strategy, data engineering, AI development, and insight delivery. Their work covers building data foundations, creating ML models, and getting those into daily use through ops and apps.

A noticeable part is how they mix advisory with hands-on building so clients end up with something usable rather than just reports. It often involves piecing together accelerators to speed things up while keeping quality steady.

Key Highlights:

• Covers full spectrum from strategy to operationalizing AI
• Builds custom ML products and platforms
• Focuses on solving industry-specific challenges
• Uses open IP elements to accelerate delivery

Services:

• Strategy and Advisory 
• Data Engineering 
• AI/ML 
• Operationalizing Insights 
• Experience Consulting

Contact and Social Media Information:

• Website: www.tigeranalytics.com
• E-mail: dpo@tigeranalytics.com
• Facebook: www.facebook.com/tigeranalytics
• Twitter: x.com/tigeranalytics
• LinkedIn: www.linkedin.com/company/tiger-analytics
• Instagram: www.instagram.com/tigeranalytics
• Address: RMZ Millenia Business Park 2 Campus 5, 2nd Floor, MGR Road, Perungudi, Chennai – 600096

Conclusion

All in all, India stands out as one of the most practical places to turn when you need to outsource data science work. The companies we've covered show a clear pattern: strong technical talent, down-to-earth approaches to AI and analytics, and the ability to fit smoothly into whatever process you're running. Whether you're a startup racing to launch an MVP or a big organization trying to scale models across teams, there's usually a solid option here that can take the load off without creating new problems. At the end of the day, if your data projects are stacking up and your internal team is stretched thin, reaching out to an Indian provider often feels like one of the smartest moves you can make right now – plenty of choices, reliable execution, and results that usually deliver without too much drama.