Join EY as a Data Science & AI Manager to drive growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements.
As part of our Data Analytics and AI team, you will play a key role in enabling our clients to derive significant value from their information assets. You will collaborate with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations.
Key Responsibilities:
* Big Data Analysis: Analyze large and complex datasets to extract actionable insights.
* Statistical Modeling: Apply statistical techniques to extract insights, build predictive models, interpret data, and support data-driven decision making.
* Machine Learning and AI Model End to End Management: Build and manage the full lifecycle of ML models, including development, validation, deployment, and monitoring in production environments.
* Collaboration: Work closely with cross-functional teams to develop, test, and deploy advanced machine learning models.
* Communication: Effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making.
* Continuous Learning: Stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field.
To qualify for the role, you must have:
* Experience: Minimum of 6 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications.
* Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch.
* Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles, and programming is essential for success in this role.
Ideally, you will also have:
* Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability, addressing business problems with data-driven solutions.
* Collaborative Development: Work under the guidance of senior data scientists and solution architects to build models that align with strategic visions and client needs.
* Data Pipeline Management: Design, implement, and maintain data pipelines that are critical for model training and deployment.
At EY, we offer a competitive remuneration package, support for flexible working, and career development opportunities. Our comprehensive Total Rewards package includes a range of benefits, such as pension, discounted health insurance, and opportunities to develop new skills and progress your career.
We are committed to being an inclusive employer and welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.
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