As a Data Scientist, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career.
Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.
Apply advanced analytics and AI/ML techniques to solve client business problems
Frame business problems and drive solution frameworks
Manage client engagements and relationships
Present insights and solutions clearly to clients
From the employer’s posting
As a Data Scientist, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for its clients.
Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.
Conceptualizing business problems and drive frameworks.
Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems.
Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently.
Education & alternatives
- Collaborating to work in cross-functional teams with diverse backgrounds and perspectives
- A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field
- 2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data
Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Aug 15, 202690 days ago
Recorded sightings
407
Last seen by us
Nov 13, 2026
Employer says posted
Sep 8, 2025
Aug 15, 2026today
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 90
860
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Weekday AI’s usual: its jobs come down by about day 5.
From 11,783 similar postings that came down, and 96 of Weekday AI’s. Coming down is not always a hire.
Weekday AI is hiring
37 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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
R
SQL
AWS
Azure
GCP
Where the posting names them
- 2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data
- Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning
- Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud
- Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning
- Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud
- Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.
Yes. We’ve followed 5 other Data Scientist jobs there since August 2026. One came down after 4 days. 4 are still up.
PuneCame down after 4 days, first seen Aug 15
This jobUp 91 days so far, first seen Aug 15
BengaluruStill up after 25 days, first seen Oct 19
BengaluruStill up after 23 days, first seen Oct 21
BengaluruStill up after 2 days, first seen Nov 12
ChennaiStill up after 1 day, first seen Nov 12
Aug 15Today
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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 Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
This role is for one of Weekday’s clients Min Experience: 2 years Location: Mumbai, Gurgaon, NCR, Delhi, NOIDA JobType: full-time
Requirements
About the role
As a Data Scientist, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for its clients.
Key Competencies :
Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for the clients.
Conceptualizing business problems and drive frameworks.
Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems.
Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently.
Collaborating to work in cross-functional teams with diverse backgrounds and perspectives
A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field
2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data
Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning
Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud
Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.
Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.