The top data science companies in India hiring freshers in 2026 are Mu Sigma, Fractal Analytics, TCS, Infosys, and Amazon. Most freshers enter as analysts, not data scientists. Your college decides your entry point. Your skills and internships decide how fast you move.
Most data science companies in India hiring freshers are IT services firms and analytics companies, not product giants. Freshers are typically hired into data analyst or junior analytics roles — becoming a full-fledged data scientist in India takes time and internal movement.
If you’re from Tier 1 colleges, you’ll have better access to companies like Amazon or Microsoft through campus hiring. If you’re from Tier 2 or Tier 3 colleges, your entry point will most likely be companies like Tata Consultancy Services, Infosys, or analytics firms.
Your starting point is not just about college tier — it’s also about your skill level. If you’ve completed strong internships or worked on real, industry-grade projects, you already have a significant advantage over candidates who only rely on coursework.
Your college decides your entry point. Your skills and internships decide how fast you move.
These are the data science companies in India and hiring patterns you need to understand before targeting roles.
Top 10 Data Science Companies in India Hiring Freshers (2026)

| Company | Type | India HQ / Primary Hub | Fresher Salary (₹ LPA) |
|---|---|---|---|
| Mu Sigma | Analytics Firm | Bangalore | 4–6 |
| Fractal Analytics | AI & Analytics | Mumbai | 6–12 |
| Tredence | Analytics Consulting | Bangalore | 5–10 |
| LatentView Analytics | Analytics Firm | Chennai | 5–9 |
| Tata Consultancy Services | IT Services | Mumbai | 3–7 |
| Infosys | IT Services | Bangalore | 3–8 |
| Accenture | Consulting & IT | Bangalore | 4–8 |
| Genpact | Analytics & Consulting | Gurgaon | 4–7 |
| EXL | Analytics & BPM | Noida | 4–7 |
| Amazon | Product-Based | Bangalore | 10–20+ |
(Salary Figure Source: Glassdoor)
Most data science companies in India are not hiring freshers directly as ‘Data Scientists. They are hiring them into analyst or trainee roles, where you build real-world experience before moving into advanced roles.
This list focuses on companies that consistently hire freshers and give exposure to data-driven work — even if the role title doesn’t say “Data Scientist.”
- Mu Sigma
Mu Sigma is one of the few companies in India that has built its entire hiring model around fresh graduates. It recruits heavily from campuses across Tier 1, Tier 2, and Tier 3 colleges and places candidates into structured training programs designed to build strong analytical thinking from the ground up.
Freshers typically join as Decision Scientist Trainees or Analysts. The early work focuses on business problem-solving, data interpretation, and understanding how companies use data to make decisions. It’s a strong starting point if you want real-world exposure quickly, but not ideal if you’re expecting immediate hands-on work in machine learning or advanced AI.
Key Details:
- Headquarters: Chicago, with major delivery center in Bangalore
- Employee Strength: ~3,500+ globally
- Offices in India: Bangalore (primary hub)
- Fresher Salary: ~₹4–6 LPA
Roles Offered:
Decision Scientist Trainee, Data Analyst, Business Analyst
Mu Sigma Career Page Link: https://www.mu-sigma.com/careers
- Fractal Analytics
Fractal Analytics operates closer to the core data science and AI space compared to most analytics firms. It works on advanced use cases across industries like healthcare, retail, and finance, which makes it one of the more desirable companies for freshers aiming for serious data science exposure.
Hiring is selective and heavily skewed toward candidates with strong academic backgrounds or solid internships. Freshers usually enter through analyst roles, with gradual exposure to machine learning depending on performance and project allocation.
Key Details:
- Headquarters: Mumbai / New York
- Employee Strength: ~4,000+
- Offices in India: Mumbai, Bangalore, Gurgaon
- Fresher Salary: ~₹6–12 LPA
Roles Offered:
Analyst, AI/ML roles (limited intake)
Fractal Career Page Link: https://fractal.ai/careers/
- Tredence
Tredence is a fast-growing analytics consulting firm focused on solving business problems using data. The work is client-driven and requires applying analytics to real-world decision-making rather than purely building models.
Freshers are expected to be job-ready with strong fundamentals in SQL and data analysis. The learning curve is steep, but the exposure to practical business use cases is strong from early on.
Key Details:
- Headquarters: San Jose, USA
- Employee Strength: ~3,000+
- Offices in India: Bangalore, Gurgaon, Chennai
- Fresher Salary: ~₹5–10 LPA
Roles Offered:
Data Analyst, Analytics Consultant (entry-level)
Tredence Career Page Link: https://www.tredence.com/careers
- LatentView Analytics
LatentView Analytics is a publicly listed analytics firm that works with global clients across industries. It offers strong exposure to large datasets and real-world business problems, making it a solid entry point for freshers.
The work leans more toward business analytics than core data science initially, but it builds a strong foundation in handling data and deriving insights.
Key Details:
- Headquarters: Chennai
- Employee Strength: ~1,500+
- Offices in India: Chennai, Bangalore
- Fresher Salary: ~₹5–9 LPA
Roles Offered:
Data Analyst, Business Analyst
LatentView Career Page Link: https://www.latentview.com/careers/
- Tata Consultancy Services
TCS is one of the largest recruiters of freshers in India and serves as the entry point for a large number of candidates starting their careers in data-related roles.
While TCS offers digital and data-focused tracks, not all freshers are placed into these roles immediately. Many candidates begin in broader roles and transition internally into analytics or data science over time.
Key Details:
- Headquarters: Mumbai
- Employee Strength: 600,000+
- Offices in India: Pan India
- Fresher Salary: ~₹3–7 LPA
Roles Offered:
Data Analyst, Digital roles (AI/data tracks limited)
TCS Career Page Link: https://www.tcs.com/careers
- Infosys
Infosys hires a large number of freshers every year and has been gradually increasing its focus on AI and data-driven roles. It offers structured training programs that allow candidates to move into data-related domains over time.
However, competition for these roles is high, and many freshers start in general roles before transitioning into data-specific positions.
Key Details:
- Headquarters: Bangalore
- Employee Strength: 300,000+
- Offices in India: Pan India
- Fresher Salary: ~₹3–8 LPA
Roles Offered:
Data Analyst, AI/ML roles (limited)
Infosys Career Page Link: https://www.infosys.com/careers/
- Accenture
Accenture combines consulting with analytics and hires freshers across multiple roles. It offers exposure to real client projects, especially in analytics, reporting, and business intelligence.
The work is largely client-driven, which means freshers often work on dashboards, reporting systems, and analytics solutions rather than core machine learning projects.
Key Details:
- Headquarters: Dublin
- Employee Strength: 700,000+
- Offices in India: Bangalore, Hyderabad, Pune, Mumbai
- Fresher Salary: ~₹4–8 LPA
Roles Offered:
Data Analyst, Business Analyst
Accenture Career Page Link: https://www.accenture.com/in-en/careers
- Genpact
Genpact focuses on business analytics across domains like finance, operations, supply chain, and data science for logistics — making it one of the more domain-specific entry points for freshers. It is accessible to Tier 2 and Tier 3 candidates and offers a strong starting point for building domain-specific analytics skills.
The work is less technical and more focused on applying analytics within business contexts.
Key Details:
- Headquarters: New York
- Employee Strength: ~115,000+
- Offices in India: Gurgaon, Hyderabad, Bangalore
- Fresher Salary: ~₹4–7 LPA
Roles Offered:
Data Analyst, Business Analyst
Genpact Career Page Link: https://www.genpact.com/careers
- EXL
EXL operates in sectors like insurance, healthcare, and financial services, where analytics is used to drive business decisions. It hires freshers for analyst roles and provides exposure to domain-specific use cases.
This is a good starting point if you want to build expertise in a particular industry using data.
Key Details:
- Headquarters: New York
- Employee Strength: ~50,000+
- Offices in India: Noida, Bangalore, Pune
- Fresher Salary: ~₹4–7 LPA
Roles Offered:
Analyst roles
EXL Career Page Link: https://www.exlservice.com/careers
10. Amazon
Amazon represents the product-company side of hiring, where data plays a central role in decision-making across teams. It offers high-quality work and strong compensation, but hiring is extremely selective.
Most freshers enter through internships, and roles are typically data analyst positions rather than direct data scientist roles.
Key Details:
- Headquarters: Seattle
- Employee Strength: 1.5M+ globally
- Offices in India: Bangalore, Hyderabad
- Fresher Salary: ~₹10–20+ LPA
Roles Offered:
Data Analyst, Data Scientist (very limited)
Amazon Career Page Link: https://www.amazon.jobs/en/locations/india
Where Data Science Freshers Actually Get Hired
Among the top data science companies in India, most do not hire freshers directly as Data Scientists. The majority enter through roles in IT services or analytics firms, where hiring volume is higher and entry barriers are lower.
Understanding how the data science industry in India is structured is critical — otherwise, you end up targeting companies that rarely hire freshers.
IT Services Companies (Mass Hiring Entry Point)
Companies like Tata Consultancy Services, Infosys, and Accenture hire the largest number of freshers every year.
These companies recruit across all college tiers and offer structured onboarding programs. Data-related roles do exist, but not everyone is placed into them immediately.
- Entry barrier is relatively lower
- Roles may start as generic or support roles
- Internal movement into data teams is common
IT services firms remain the largest category of data science companies actively recruiting freshers at scale.
Analytics & Consulting Firms (Better Exposure, Moderate Competition)
Companies like Mu Sigma, LatentView Analytics, Genpact, and EXL hire fewer candidates but offer more direct exposure to data and analytics work.
These roles are closer to real-world data usage and business problem-solving.
- Roles are more aligned with analytics work
- Expectation of basic SQL, Excel, or analytical skills
- Hiring through both campus and off-campus routes
This is the most practical target segment for most freshers. If you’re actively searching for data scientist jobs in India, analytics firms give you the best realistic shot at relevant work without a Tier 1 college tag.
Product Companies (High Reward, Limited Intake)
Companies like Amazon and Microsoft represent the top tier of hiring.
They offer stronger compensation and better exposure to data-driven systems, but hiring is highly selective.
- Most hiring happens through internships or top campuses
- Strong projects and real-world experience are expected
- Very limited direct hiring for freshers
This is the hardest segment to enter, especially without internships or a strong profile.
What This Means for You
Fresher data scientist jobs in India are rarely advertised as such — most are listed under analyst, trainee, or associate titles. Your entry point into data science depends on four things:
- Your college tier
- Your skills
- Your internships and project experience
- The access you have to hiring opportunities
There’s also an alternative path many candidates use. Some reputed training providers have hiring partnerships with companies, which can give you access to interview opportunities beyond campus placements or job portals.
Check out Win in Life Academy’s Data Analytics Course with AI Course or Data Science and MLOps Course.
However, this only works if you’re aiming to build strong, job-ready skills fast. But remember, a certificate alone won’t get you hired unless you put in the work and build your portfolio.



