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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