EY GDS Consulting: Data Scientist / Machine Learning Engineer – Campus Hire

September 7, 2025
4 ₹ LPA - 6 ₹ LPA / year

Job Description

🏢 Company: EY GDS Consulting

💼 Role: Data Scientist / Machine Learning Engineer – Campus Hire

📍 Location: Kolkata

⏳ Experience: Entry-Level (Final or Pre-Final Year)

🔖 Job Type: Internship / Campus Hire – Full Time

Job Description

As a Campus Hire Data Scientist / Machine Learning Engineer at EY GDS Consulting in Kolkata, you'll engage in designing and building cutting-edge AI and machine learning solutions. This role promises hands-on experience throughout the entire AI development lifecycle—from extracting meaningful insights from complex data to deploying predictive models. You’ll immerse yourself in an environment that encourages innovation, analytical thinking, and collaboration with domain experts, clients, and fellow stakeholders, ensuring the creation of impactful, real-world AI solutions.

You'll drive the development and refinement of generative AI systems, ensuring they are built ethically and deliver high-quality outputs. Your responsibilities will range from evaluating advanced AI methods to establishing evaluation metrics for outputs’ relevance and coherence. With a strong focus on data privacy, security, and ethical application, this role empowers you to build responsible AI systems that align with EY’s mission of building a better working world.

This campus role offers an unparalleled learning opportunity—structured mentorship, exposure to real client challenges, and the chance to contribute technically to state-of-the-art AI solutions. If you're driven by curiosity, equipped with academic excellence, and eager to apply your machine learning knowledge in a professional setting, this position is designed for you.


Roles & Responsibilities

  • Design and develop AI-driven solutions, drawing from deep learning, generative models, and predictive analytics.

  • Communicate effectively with stakeholders, translating technical concepts into well-defined project goals.

  • Collaborate with domain experts and clients, tailoring generative AI systems to address specific business requirements.

  • Research and evaluate advanced AI techniques, staying current with emerging technologies and adoption best practices.

  • Ensure AI solutions comply with ethical, data privacy, and security guidelines, reflecting responsible innovation.

  • Define and apply evaluation metrics, assessing outputs for quality, coherence, and business relevance.

  • Translate academic knowledge into real-world AI applications, bridging theory with practical impact.

  • Participate actively in team discussions, contributing fresh academic insights and ideas within a consulting environment.

  • Develop model documentation and usage guidelines, improving transparency and maintainability.


Requirements & Eligibility

  • Pursuing a Bachelor’s or Master’s degree in Engineering, AI/ML, Data Science, Statistics, Economics, or related field.

  • Currently in your final or penultimate year, with excellent academic performance.

  • Strong understanding of machine learning, deep learning, and generative AI techniques.

  • Proficiency in programming with Python or R, and familiarity with frameworks like TensorFlow or PyTorch.

  • Strong analytical and problem-solving skills, capable of translating complex challenges into technical solutions.

  • Preferably, exposure to AI cloud platforms, open-source AI communities, or relevant forums.

  • Demonstrated coding discipline, preferably showcased via GitHub or similar repositories.

  • Curiosity-driven mindset, eager to apply emerging AI methods responsibly in business contexts.

  • Excellent communication and collaboration abilities, comfortable working with diverse stakeholders.


Expected Salary

As a campus hire in this role at EY GDS in Kolkata, compensation typically aligns with industry-standard internship stipends or early-career salaries, generally ranging from ₹3 LPA to ₹6 LPA, depending on the candidate’s educational background, technical expertise, and performance during the selection process. EY often enhances compensation with globally competitive rewards and opportunities for full-time placement.

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