Data Science Recruitment Agency in India
WSNE Consulting is India's specialist data science recruitment agency helping enterprises hire data scientists, ML engineers, data engineers, AI researchers, and analytics leaders. With 200+ data science placements and a technical assessment methodology built for the AI era, we deliver pre-vetted candidates in 48-72 hours.
Data Science Roles We Recruit
| Role | Salary Range (2025) | Demand |
|---|---|---|
| Data Scientist | ₹15-45 LPA | High |
| ML Engineer | ₹18-55 LPA | Very High |
| Data Engineer | ₹12-40 LPA | Very High |
| Data Analyst | ₹6-18 LPA | High |
| AI/NLP Researcher | ₹25-70 LPA | Critical |
| MLOps Engineer | ₹20-50 LPA | Critical |
| Analytics Manager | ₹25-60 LPA | Moderate |
| Chief Data Officer | ₹60-150 LPA | Niche |
How WSNE Recruits Data Science Talent
Requirement Deep-Dive
We map your tech stack (Python, Spark, TensorFlow), domain context, and team dynamics.
Sourcing Strategy
Activate passive talent from Kaggle, GitHub, research communities, and our 50,000+ database.
Technical Assessment
In-house data science panel evaluates ML fundamentals, coding, and system design.
Case Study Round
Candidates solve a real-world business problem relevant to your domain.
Shortlist Delivery
You receive 3-5 pre-vetted candidates with detailed technical scorecards.
Offer & Onboarding
We manage competing offers, negotiate packages, and ensure smooth joining.
Tech Stacks We Hire For
Data Engineering
Spark, Airflow, Kafka, dbt, Snowflake, BigQuery
Machine Learning
TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM
GenAI & LLMs
LangChain, RAG, Fine-tuning, Prompt Engineering, GPT API
Analytics & BI
Tableau, Power BI, Looker, SQL, Python, R
MLOps & Infra
MLflow, Kubeflow, Docker, Kubernetes, CI/CD
Domain AI
NLP, Computer Vision, Time Series, RecSys, Fraud Detection
Data Science Recruitment – FAQs
Explore More
Why Choose WSNE
Related Services
Resources & Success Stories
Ready to Hire Data Science Talent?
Share your requirements and receive pre-vetted data science candidates within 48-72 hours.