Work From Home India Data scientist Jobs – 106 Open Jobs Today

Data Scientist
Termgrid Inc. —Remote
- Full-time
- Remote
- Master's degree
- SQL
- Machine learning
Quick apply
8h
AI Integrated Data Science Trainer
Grotechminds Software Pvt Ltd —Remote
- ₹1,500 - ₹2,000 an hour
- Remote
- Azure
- Master's degree
- SQL
- Work from home
- Flexible schedule
Quick apply
10h
Lecturer in IT/AI/Machine Learning
Kingsford College of Business & Technology —Remote
- From ₹1,100 an hour
- Part-time
- Remote
- Doctoral degree
- English
- Master's degree
Quick apply
Freelance Faculty- RBI DSIM (Statistics and Data Science)
ixamBee —Remote
- ₹2,00,000 - ₹5,00,000 a year
- Part-time
- Remote
- Master's degree
- Analysis skills
- Bachelor's degree
Quick apply
AI/ML Engineer
ArtPark - I-Hub for Robotics and Autonomous Systems Innovation Foundation —Remote
- Remote
- Azure
- Master's degree
- SQL
QA Tester – AI Observability & Monitoring
TestUnity —Remote
- ₹1,000 - ₹1,200 an hour
- Remote
- Computer Science
- Master's degree
- SQL
Quick apply
AI Specialist I
AxisMaxlife —Remote
- Remote
- Master's degree
- Analysis skills
- Machine learning
Senior MLOps Engineer / Data Scientist
Luxoft —Remote
- Remote
- Azure
- Computer Science
- DevOps
Data Science (Python + Django)
Somnetics —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Technical Faculty (Malayalam Speaking) – Artificial Intelligence & Data Analytics
Des-Tech Academy —Remote
- ₹1,000 - ₹2,000 an hour
- Part-time
- Remote
- Computer Science
- English
- Master's degree
- Work from home
- Flexible schedule
Quick apply
Machine Learning Intern
Optimspace —Remote
- ₹7,500 - ₹15,000 a month
- Remote
- Analysis skills
- Bachelor's degree
- Machine learning
Quick apply
Part-Time AI & Machine Learning Instructor
Nexvatara —Remote
- ₹600 - ₹800 an hour
- Part-time
- Remote
- Machine learning
- JavaScript
- AI
Quick apply
Data Science Trainer
Getin Technologies —Remote
- Part-time
- Remote
- Computer Science
- English
- Master's degree
Quick apply
5d
Principal Data Science Engineer
Sabre —Remote
- Full-time
- Remote
- Hospitality
- Computer Science
- Java
Machine Learning Engineer
Aidaptive —Remote
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Machine Learning Engineer
MNJ Software —Remote
- Full-time
- Remote
- Azure
- English
- Master's degree
- Work from home
Internship: AI ML Intern
Datafoundry —Remote
- Full-time
- Remote
- Master's degree
- Bachelor's degree
- Machine learning
AI/ML Engineer
LakeFusion —Remote
- Full-time
- Remote
- Azure
- Master's degree
- SQL
ML Engineer
Expertshub.ai —Remote
- ₹20,00,000 - ₹40,00,000 a year
- Remote
- Azure
- Java
- AWS
Quick apply
Artificial Intelligence (AI) Trainer
Transorze Solutions Private Limited —Remote
- ₹10,000 - ₹20,000 a month
- Part-time
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply

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Data Scientist

Termgrid Inc.
Remote

Quick apply

Job details

Full-time
8 hours ago

Qualifications

NumPy
Master's degree
SQL
Pandas
Machine learning
AI
MBA
Python

Full job description

Termgrid is rewriting the rules of private capital markets. We built the category-defining operating system for deal professionals — the platform where the world's most sophisticated private equity sponsors, lenders, and advisors manage every stage of their financing workflows.

Founded in 2019 by Dipish Rai (Harvard MBA, IIT, Columbia; ex-Providence Equity) and Vishal Singh (Columbia MS CS; ex-CTO Link3D, acquired by Nasdaq: MTLS), Termgrid has achieved what few fintech companies dream of: 4 of the top 5 global private equity firms trust us as their core technology partner. 1600+ institutions. 30,000+ professionals.

The Role

We are adding intelligent recommendations to the platform: quietly surfacing the most relevant connections, counterparties, and opportunities to users at the right moment, drawn from social signals (who is connected to whom, network activity) and transaction signals (who transacts with whom). The bar is subtle and genuinely useful discovery, not a salesy push.

You will be the first data scientist building this, from the ground up, on data most companies would love to have. It is a build-and-own role for someone who ships.

Responsibilities

Build and own the first recommendation features, surfacing relevant connections, counterparties, and opportunities inside the product.
Apply classical recommendation techniques well: collaborative filtering, clustering, nearest neighbors, and standard ML models, on social and transaction data.
Start simple, then layer in embeddings, similarity search, and ranking where they earn their place.
Handle sparse data and cold-start for new users and entities.
Keep recommendations subtle, relevant, and trustworthy: helpful discovery in a finance product, not a sales pitch. This is a product and UX judgment call as much as a modeling one.
Own evaluation: offline metrics plus online experiments tied to real engagement and adoption, not vanity numbers.
Partner with backend engineering on serving, and set light, useful ML practices as the first data scientist in this area.

Requirements

Solid, hands-on experience building recommendation or personalization systems in production.
Strong grasp of classical recommendation methods: collaborative filtering, clustering, nearest neighbors, and standard ML models.
Recommendation foundations: embeddings and similarity or vector search, ranking, feature engineering, and rigorous evaluation.
Strong Python (pandas, numpy, scikit-learn) and strong SQL.
Experimentation literacy: you design and read A/B tests and know the difference between offline and online lift.
Product and business judgment, plus pragmatism: you can make recommendations feel subtle and relevant rather than salesy, you start simple, ship, and improve.
Nice to have: capital markets, private credit, or fintech domain exposure; graph or network methods (graph embeddings, GNNs, link prediction) as a bonus for future sophistication; early or founding data scientist experience.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick apply

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data scientist jobs in work from home india

Data Scientist

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Lecturer in IT/AI/Machine Learning

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