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Top 10 Data Science Companies in India Hiring Freshers (2026 guide) 

Top data science companies in India hiring freshers in 2026 including Mu Sigma, Fractal Analytics, TCS, Infosys, and Amazon with salary comparison

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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)

CompanyTypeIndia HQ / Primary HubFresher Salary (₹ LPA)
Mu SigmaAnalytics FirmBangalore4–6
Fractal AnalyticsAI & AnalyticsMumbai6–12
TredenceAnalytics ConsultingBangalore5–10
LatentView AnalyticsAnalytics FirmChennai5–9
Tata Consultancy ServicesIT ServicesMumbai3–7
InfosysIT ServicesBangalore3–8
AccentureConsulting & ITBangalore4–8
GenpactAnalytics & ConsultingGurgaon4–7
EXLAnalytics & BPMNoida4–7
AmazonProduct-BasedBangalore10–20+

(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.” 

  1. 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 

  1. 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/ 

  1. 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 

  1. 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/ 

  1. 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 

  1. 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/ 

  1. 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 

  1. 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 

  1. 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.  

Frequently Asked Questions (FAQs)
Q1. What skills do freshers need before applying to data science companies in India?
Freshers applying to data science roles in India need proficiency in SQL, Python, and Excel as a baseline. Statistics and probability fundamentals are expected even for analyst-level roles. For analytics firms like Mu Sigma or LatentView, strong logical reasoning and structured problem-solving matter more than machine learning knowledge at the entry level. For product companies like Amazon, proficiency in Python and familiarity with A/B testing or experimentation frameworks is expected. A portfolio with at least two end-to-end projects on real datasets significantly improves shortlisting chances across all company types.
Q2. Is a data science degree mandatory to get hired at top analytics companies in India?
No. Most analytics and IT services companies in India do not require a dedicated data science degree. A BTech, BSc Statistics, BSc Mathematics, or BCA degree is sufficient for entry-level analyst roles. What matters more is demonstrable skill — SQL proficiency, Python basics, and a project portfolio. Companies like Genpact and EXL regularly hire graduates from non-CS backgrounds into analyst roles. A data science certification from a recognised institution can substitute for a specialised degree if paired with hands-on project work.
Q3. How long does it typically take a fresher to move from an analyst role to a data scientist role in India?
The average transition timeline from an analyst or trainee role to a data scientist role in India is 18 to 36 months, depending on the company type and individual performance. In IT services companies like TCS or Infosys, internal movement can take longer due to organisational size and process. In analytics firms like Fractal Analytics or Tredence, the timeline is shorter because project exposure is more direct. Upskilling in machine learning, model building, and domain-specific tools during this period accelerates the transition significantly.
Q4. Do data science companies in India hire freshers through off-campus routes?
Yes. Analytics firms like Mu Sigma, LatentView Analytics, and EXL actively hire through off-campus drives, LinkedIn, and their own career portals — not just through college placement cells. IT services companies like TCS and Infosys run dedicated off-campus hiring programmes such as TCS NQT and Infosys InfyTQ. Product companies like Amazon hire freshers primarily through internship conversions and referrals, making off-campus direct applications less effective for that segment. Candidates from Tier 2 and Tier 3 colleges have the best off-campus success rate with analytics and BPM firms.
Q5. What is the difference between a data analyst and a data scientist role at Indian companies?
In the Indian job market, a data analyst role focuses on querying data, building dashboards, generating reports, and supporting business decisions using tools like SQL, Excel, and Power BI or Tableau. A data scientist role involves building predictive models, working with machine learning algorithms, and handling unstructured data using Python or R. Most freshers enter as data analysts. The data scientist title typically requires 1 to 3 years of experience, model-building exposure, and demonstrated impact on business outcomes. At many Indian IT services companies, the distinction is more about internal banding than actual work content.
Q6. Which Indian cities have the highest concentration of data science job opportunities for freshers?
Bangalore has the highest concentration of data science job opportunities in India, driven by the presence of product companies, analytics firms, and IT services majors. Hyderabad is the second-largest hub, with strong representation from companies like Amazon, Accenture, and Genpact. Mumbai is significant for finance and FMCG-focused analytics roles, with firms like Fractal Analytics headquartered there. Chennai is relevant primarily for analytics firms like LatentView. Gurgaon and Noida serve as hubs for BPM and consulting-led analytics roles through companies like EXL and Genpact. For freshers, Bangalore and Hyderabad offer the highest volume of entry-level opportunities.
Q7. Can freshers negotiate salary at data science companies in India?
Yes, but the leverage is limited at the fresher level for IT services companies, which operate on fixed compensation bands. At analytics firms like Fractal Analytics or Tredence, there is moderate room to negotiate if you have strong internships, published projects, or a competing offer. The most effective negotiation lever for freshers is a competing offer from a company in the same tier. Attempting to negotiate without one usually fails. Product companies like Amazon have structured offer components — base, RSUs, and joining bonus — and negotiation typically focuses on the joining bonus or RSU vesting timeline rather than base salary.
Q8. Are internships mandatory for getting a data science job in India as a fresher?
Internships are not mandatory but they are a significant differentiator. Freshers with at least one relevant internship — even a virtual or project-based one — are shortlisted at a meaningfully higher rate than those without any experience. For product companies like Amazon, an internship conversion is often the primary fresher hiring route, making it close to mandatory in practice. For analytics firms and IT services companies, strong academic projects can partially substitute for internships, but they need to demonstrate real data handling, not just coursework assignments. A 6 to 8 week internship with a documented outcome is more valuable than three months of generic training.
Q9. What tools and technologies should freshers learn to stay competitive in India’s data science job market in 2026?
In 2026, freshers targeting data science roles in India should prioritise SQL, Python, and at least one visualisation tool — Power BI or Tableau. Familiarity with cloud platforms, particularly AWS or Google Cloud, is increasingly expected even at the analyst level, especially at product and consulting companies. Basic knowledge of machine learning libraries like Scikit-learn and exposure to large language model APIs is becoming a differentiator in analytics firms moving toward AI-integrated workflows. Git for version control and familiarity with Jupyter Notebooks are table-stakes expectations across all company types.
Q10. How do training institute hiring partnerships actually work for data science freshers in India?
Some training institutes maintain formal or informal hiring partnerships with analytics firms and IT services companies. These partnerships typically give enrolled candidates access to internal job referrals, pre-placement interviews, or dedicated hiring drives that are not listed publicly. The value of these partnerships depends entirely on the institute’s track record and the quality of companies in its network. A hiring partnership does not guarantee placement — it guarantees access to an interview opportunity. Freshers still need to clear technical assessments and interviews on their own merit. The advantage is bypassing the initial screening barrier, which is the hardest part of off-campus hiring for candidates without strong college brand recognition.

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