Position Details

As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value.

You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data.

This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment.

Requirements (including experience, skills, and additional qualifications)

A bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience.

Technical skills requirements

Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques.
Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets.
Apply dimension reduction techniques to improve model performance and interpretability.
Utilize statistical models to design and implement effective business solutions.
Evaluate and validate models to ensure robustness and reliability.
Should have a solid background in Python.
Familiarity with Time Series Forecasting.
Basic experience with cloud platforms such as AWS, Azure, or GCP.
Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus.

Additional skill requirements:

Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation.
Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases.
Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects.
Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges.
Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences.

What we look for

A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment.
An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals, in the only integrated global assurance business worldwide.
Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries.

What working at EY offers

At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects.
Our focus is education and coaching alongside practical experience to ensure your personal development.
We value our employees, and you will be able to control your own development with an individual progression plan.
You will quickly grow into a responsible role with challenging and stimulating assignments.
Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange.
Plus, we offer:
Support, coaching, and feedback from some of the most engaging colleagues around.
Opportunities to develop new skills and progress your career.
The freedom and flexibility to handle your role in a way that's right for you.

About EY

As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise, and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

Apply now

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