Role overview
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
What you'll work on
- Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction.
- Reviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data
- Designing and implementing data models to manage data within the organization,
- Migrating data from one system to another using multiple sources, identifying and implementing storage requirements
- Analyzing the latest trends such as cloud computing and distributed processing, and their uses in business, building industry knowledge
- Peer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose
- Automating important infrastructure for the data science team.
- Staying current with AI trends and suggesting improvements to existing systems and workflows.
What we're looking for
- 8+ years’ experience in machine learning, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
- Experience with generative LLM fine-tuning and prompt engineering.
- Proficiency with data wrangling, visualization, and modeling in Python
- Experience in ML/NLP algorithms, including supervised and unsupervised learning.
- Good knowledge with cloud ecosystems, Azure is preferred
- Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib)
- Strong programming skills in Python
- Experience with tools in the distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus
- Experience with SQL, Document DBs and Vector DBs
- Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period Data
- Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization
- Knowledge of containerization platforms like Docker is a plus.
- Experience with Git and modern software development workflow.
- Non-Technical Skills:
- Strong team and business communication skills – can walk through and approach with technical clients or explain tricky concepts to non-technical people
- Must thrive in a fast-paced environment and be able to work independently.
- Excellent in communication skills
- Education
- Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred
Tags & focus areas
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