Data Science & Management Consulting Recruitment Experts

WSNE recruits Data Scientists, ML Engineers, Data Engineers, Data Analysts, BI Developers, AI Researchers, NLP Specialists, GenAI/LLM Engineers, MLOps Engineers, and Analytics Managers across India.

We serve IT companies, GCCs, BFSI, E-commerce, Healthcare, Manufacturing, Consulting firms, and startups looking for data science and analytics talent.

Our technical team conducts thorough assessments including Python/R skills, ML algorithms, statistical modeling, SQL proficiency, deep learning frameworks (TensorFlow, PyTorch), and domain-specific case studies.

Data Scientist salaries in India (2025-2026): Junior (0-3 yrs) ₹8-16 LPA, Mid-level (3-6 yrs) ₹16-32 LPA, Senior (6-10 yrs) ₹32-55 LPA, Principal/Staff (10+ yrs) ₹55-90 LPA. GenAI/LLM specialists command 20-40% premium.

Data Scientists focus on analysis, modeling, and deriving insights using statistics and ML. ML Engineers focus on deploying, scaling, and maintaining ML models in production. ML Engineers typically have stronger software engineering skills while Data Scientists have deeper statistical backgrounds.

Yes, WSNE actively recruits for GenAI/LLM roles including Prompt Engineers, LLM Engineers, RAG Specialists, AI Product Managers, and Generative AI Researchers. This is our fastest-growing practice area with 300%+ demand increase in 2025.

Key tools: Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS SageMaker, Azure ML, GCP Vertex AI, Tableau, Power BI, Snowflake, Airflow, MLflow, Kubeflow, and vector databases like Pinecone/Weaviate for GenAI.

For standard Data Analyst and junior Data Scientist roles, we deliver 5-7 pre-screened candidates in 48-72 hours. For senior Data Scientists, ML Engineers, and GenAI specialists, expect 5-7 days due to rigorous technical vetting.

Valued certifications include AWS Machine Learning Specialty, Google Professional ML Engineer, Azure Data Scientist Associate, Databricks ML Professional, and domain-specific credentials. However, demonstrated project experience typically outweighs certifications.

Yes, we offer end-to-end data team building services. We help structure roles, benchmark compensation, define technical assessments, and hire from Data Engineers to Chief Data Officers. We have built 20+ data teams from scratch.