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Senior Data Scientist - ML, Python (IN)

Reads like an ML Engineer role: training models and running them in production.

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design and implement machine learning algorithms with TensorFlow and PyTorch

  • Build and optimize data models in Python and SQL

  • Analyze and mine large datasets for trends and patterns

  • Work with cross-functional teams on data-driven business solutions

  • Create visualizations and reports that communicate results to stakeholders

From the employer’s posting
Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch
Leverage Python And Sql To Develop And Optimize Data Models
Analyze And Mine Large Datasets To Identify Trends And Patterns
Collaborate With Cross-Functional Teams To Identify Opportunities
Create Comprehensive Visualizations And Reports Using Data Visualization Tools
Apply at HCL Technologies

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 76.

From 5,460 similar postings that came down. Coming down is not always a hire.

HCL Technologies is hiring

357 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 1% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • PyTorch
  • TensorFlow
Where the posting names them
1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders. 2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data. 3. Analyze And Mine Large Datasets To Identify Trends And Patterns, Utilizing Advanced Analytics Techniques To Interpret Findings And Provide Actionable Recommendations Based On Experimental Results.
1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch. 2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development. 3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development. 3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases. 4. - In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
Key Responsibilities 1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders. 2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data.
Skill Requirements 1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch. 2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
Other Requirements 1. Optional But Valuable Certifications: Certified Data Scientist (Cds), Tensorflow Developer Certificate, Or Professional Data Engineer Certification.

Your next step

Complete your application on careers.hcltech.com. The employer’s form will show what is required.

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Has HCL Technologies posted this job before?

Yes. We’ve followed 7 other Senior Data Scientist - ML, Python (IN) jobs there since November 2026. All 7 are still up.

  1. Place not statedStill up after 1 day, first seen Nov 12
  2. Place not statedStill up after 1 day, first seen Nov 12
  3. Place not statedStill up after 1 day, first seen Nov 12
  4. Place not statedStill up after 1 day, first seen Nov 12
  5. Place not statedStill up after 1 day, first seen Nov 12
  6. Place not statedStill up after 1 day, first seen Nov 12
  7. Place not statedStill up after 1 day, first seen Nov 12
  8. This jobUp 1 day so far, first seen Nov 12

Large employers often post one title for several teams, so these can be separate openings.

About HCL Technologies

People
About 20,206 in 2024.Benefit plan filings (Form 5500)
Company
Listed as HCLTECH.NS.
H-1B visas
754 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 120 people. The latest was filed March 27, 2026.State WARN notices

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Summary

The Senior Data Scientist plays a crucial role in transforming unstructured big data into actionable insights through advanced algorithms and innovative data models. This position is essential for developing strategies that enhance client service delivery and product optimization, using cutting-edge machine learning tools and techniques to drive data-driven decision-making within the organization.

Key Responsibilities

1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders.
2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data.
3. Analyze And Mine Large Datasets To Identify Trends And Patterns, Utilizing Advanced Analytics Techniques To Interpret Findings And Provide Actionable Recommendations Based On Experimental Results.
4. Collaborate With Cross-Functional Teams To Identify Opportunities For Utilizing Data Insights To Formulate Strategic Business Solutions That Enhance Operational Efficiency And Product Offerings.
5. Create Comprehensive Visualizations And Reports Using Data Visualization Tools To Communicate Complex Analysis And Results Clearly, Enabling Informed Decision-Making For Customers And Stakeholders.

Skill Requirements

1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch.
2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
4. - In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
5. - Excellent Collaboration And Communication Skills To Work With Diverse Teams And Stakeholders.

Other Requirements

1. Optional But Valuable Certifications: Certified Data Scientist (Cds), Tensorflow Developer Certificate, Or Professional Data Engineer Certification.
Source details

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Location & working pattern

India

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