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Data Scientist

Hyderabad, India

🚀 We’re Hiring: Data Scientist – Digital Transformation Organization


Company: TC Consulting Services

Location: 100% Remote

Compensation: Package – ₹10 LPA

Shift: Night Shift (Mon–Fri, 9 AM – 5 PM EST, US Time)


TC Consulting Services is building a new Digital Transformation Organization , and we’re looking for a passionate Data Scientist to join our journey. This team’s mission is to leverage data to boost productivity and revenue , starting with our “Modern Sales” initiative .


🔑 Key Responsibilities

  • Model Development & Evaluation – Build, test, and optimize predictive models using ML/DL techniques (time-series, structured & unstructured data).
  • Data Analysis & Pipelines – Perform EDA, feature engineering, and automate data/model pipelines using tools like Databricks or Azure Data Factory .
  • Generative AI & AI Agents – Develop and fine-tune LLMs, RAG systems, and AI agents , with strong expertise in prompt engineering .
  • Collaboration & Communication – Work cross-functionally with engineers and project managers to deliver insights and translate findings into business outcomes.


🎯 Required Skills

  • Experience - Minimum 3 years overall, with 2–3 years in AI/ML.
  • Python – Hands-on expertise with Pandas, NumPy, Scikit-learn.
  • Machine Learning – Proficiency in regression, classification, clustering, TensorFlow, PyTorch.
  • Generative AI – Experience with OpenAI, Hugging Face, or similar frameworks.
  • Prompt Engineering – Ability to design and optimize prompts effectively.
  • Data Pipeline Tools – Skilled in orchestration frameworks (Databricks, Azure Data Factory).
  • Visualization – Strong command of Matplotlib and Seaborn.


🌟 Why Join Us?

This is a high-growth, fast-paced environment where you’ll be at the forefront of building AI-driven solutions that directly shape modern sales strategies. Our Digital Transformation Office is driving innovation by reimagining processes, enabling smarter decision-making, and creating data-powered customer solutions .


📩 Interested? Apply now and be part of a team shaping the future of data-driven transformation!

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