Chennai Tamil Nadu Startup data scientist Jobs – 12 Open Jobs Today

Data Scientist
Ideas2IT Technologies —Chennai, Tamil Nadu
- Master's degree
- Software development
- AI
Data Scientist -1
Accumn —Chennai, Tamil Nadu
- Full-time
- AWS
- Machine learning
- APIs
Data Scientist -II
Accumn —Chennai, Tamil Nadu
- Full-time
- AWS
- Machine learning
- APIs
Lead Data Scientist
DeepQuanty Artificial Intelligence Labs —Chennai, Tamil Nadu
- Master's degree
- C++
- Bachelor's degree
Software Engineer, Data Infrastructure & Acquisition - Chennai, India
Speechify —Chennai, Tamil Nadu
- Remote
- Doctoral degree
- Computer Science
- B.Sc
13d
Lead Data Scientist
Ideas2IT Technologies —Chennai, Tamil Nadu
Senior Digital Innovation Engineer - Data Science
Buckman —Chennai, Tamil Nadu
- Full-time
- Azure
- Doctoral degree
- Computer Science
Head of Tech (Engineering & AI)
Portcast —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- System design
Quick apply
Machine Learning Engineer III, Monk
ACV Auctions —Chennai, Tamil Nadu
- Full-time
- Doctoral degree
- Computer Science
- English
Quick apply
3930937-Senior Manager
EXL Service —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- SQL
3838937-Assistant Vice President
EXL Service —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- SQL
Growth Hecker
Acrannolife Genomics —Chennai, Tamil Nadu
- Full-time
- Marketing
- Business development
- Analysis skills

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Data Scientist
DigiTwin Technology Pvt Ltd —Chennai, Tamil Nadu
Role: Internship with Full-Time Conversion. Bachelor/master’s degree chemical engineering. Strong proficiency in Chemical engineering fundamentals.
₹3,00,000 - ₹6,00,000 a year
Quick apply
Data Science Analyst I
TGBPL TP India - GBS —Chennai, Tamil Nadu
At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics.

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Data Scientist

Ideas2IT Technologies -
Chennai, Tamil Nadu

Apply Now

Job details

Permanent

Qualifications

TensorFlow
Statistics
Law
PyTorch
Bloomberg
Master's degree
Sentiment analytics
Deep learning
Natural language processing
Software development
Data science
Keras
AI
Python

Full job description

What You'll Actually Do
Model Development & Deployment

Design, build, and deploy ML models end-to-end, from problem framing through to production serving and performance monitoring
Know when a model architecture choice, training approach, or data assumption is likely to become a quality or delivery risk, and fix it early
Build and optimise NLP systems: Q&A, sentiment analysis, entity extraction, intent classification, and semantic search
Develop and ship LLM-powered applications across a range of industries and use cases
Data & Pipeline Ownership

Design and own the data pipelines that feed your models vs. just consuming what a data engineer hands you
Build document comprehension and information extraction pipelines using deep learning and OCR
Create RAG-based systems that dynamically build knowledge bases from unstructured data
Collaboration & Technical Leadership

Work directly with enterprise clients to translate business problems into ML approaches
Engage meaningfully with architects, engineers, and product stakeholders; your technical judgement will carry weight
Contribute to Ideas2IT's AI practice: internal tools, frameworks, and the standards that shape how we build

‍

What You'll Bring
Must-Haves
3–8 years of hands-on Data Science experience: statistics, ML, and Deep Learning
Strong Python skills and software development fundamentals
Strong grasp of Transformer architectures and modern LLM fundamentals
Foundational understanding of classical deep learning architectures (RNN, LSTM, CNN); you know why they existed and when they still apply
Production experience with at least one DL framework: PyTorch, TensorFlow, or Keras
NLP experience: NLI, Q&A systems, sentiment analysis, entity extraction
Experience with semantic and syntactic pre-processing pipelines
Good-to-Haves
Hands-on exposure to LLMs, Prompt Engineering, LangChain, or RAG pipelines
Agentic AI development using cloud or open source frameworks
Why Ideas2IT, and Why Now?

Most data science roles at services firms are maintenance plays: tuning models built for yesterday's problem, on pipelines someone else owns. Ideas2IT has operated AI-first from the ground up: proprietary platforms in production, agentic tooling embedded into delivery, 800+ engineers already AI-fluent. You won't be making the case for doing real AI work. You'll be doing it.

We've built and shipped platforms including Legacyleap (GenAI-powered legacy modernisation), DataStoryHub (AI-powered BI with natural language querying), and Factory.360 (industrial IoT). These are not prototypes or pilot projects, but are live, generating revenue, with actual customers. The models and systems you build here will be the intelligence layer underneath all of it.

‍

What that looks like in practice:
You'll work on projects with real stakes: AI platforms for clinical trials, healthcare data infrastructure, financial services, and more
You'll shape the approach you execute, with your architectural and modelling decisions
You'll pitch ideas at internal Shark Tank-style sessions and Hackathons: if you want to build something, there is a real path to doing it
Our founder's guarantee: you'll always be part of at least one initiative that genuinely interests and challenges you

‍

The Hiring Process: We Mean Business and Move Fast
Send us something real: your resume, a short note on the models and systems you've owned. We're not fussy.
Do a real-world challenge: we'll share a scenario relevant to the work you'll do in this role.
Talk to the people you'd work with: connect with the people who'll be your colleagues.
Get a quick, respectful answer: yes or no, with a reason either way.

‍

About Us:
Ideas2IT stands at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially conceived as a CTO consulting firm, we've evolved into thought leaders in cutting-edge technologies such as Generative AI, assisting our clients in embracing innovation. Our forte lies in applying technology to address business needs, demonstrated by our track record of developing AI-driven solutions for industry giants like Facebook, Bloomberg, Siemens, and others. Harnessing our product-centric approach, we've incubated several AI-based startups—including Pipecandy, Element5, IdeaRx, and Carefi. in—that have flourished into successful ventures backed by venture capital. With fourteen years of remarkable growth behind us, we're steadfast in pursuing ambitious objectives.‍

P.S. We're all about diversity, and our doors are wide open to everyone. Join us in celebrating the awesomeness of differences!

Apply Now

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startup data scientist jobs in chennai tamil nadu

Data Scientist

Data Scientist -1

Data Scientist -II

Lead Data Scientist

Software Engineer, Data Infrastructure & Acquisition - Chennai, India

Lead Data Scientist

Senior Digital Innovation Engineer - Data Science

Head of Tech (Engineering & AI)

Machine Learning Engineer III, Monk

3930937-Senior Manager

3838937-Assistant Vice President

Growth Hecker

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