Note: The job is a remote job and is open to candidates in USA. EY is a global leader in assurance, tax, transaction, and advisory services, dedicated to the financial services marketplace. The Senior Data Scientist will solve complex problems and deliver insights in the AI and data space, while collaborating with a talented team to drive continuous learning and skills development.
Responsibilities
- Lead complex data analysis to uncover strategic insights, identify implications, and provide data-driven recommendations, effectively communicating findings through clear data visualizations
- Design, develop, and implement advanced machine learning models and statistical analyses to solve complex business challenges, leveraging diverse banking data
- Drive Generative AI initiatives by developing and fine-tuning LLMs, applying efficient prompting strategies, utilizing LLMs for data augmentation, and integrating Retrieval-Augmented Generation (RAG, including advanced RAG) to enhance capabilities. Design and deploy high-accuracy NLP models for diverse applications
- Apply advanced deep learning techniques (ANN, LSTM, CNN, BERT, XLNet, Transformers, neural & LLM-based embeddings) to create state-of-the-art AI models and applications
- Proactively research and develop innovative AI solutions, staying abreast of the latest advancements in AI/ML to drive continuous business improvement
- Demonstrate deep proficiency in Python (scikit-learn, pandas, SpaCy, TensorFlow, PyTorch, transformers) and PySpark (including MLLib, SparkNLP). Utilize big data frameworks (Hive, Hue; with exposure to Impala, Spark streaming) to drive end-to-end modelling efforts
- Translate intricate business requirements into technical solutions, ensuring strong alignment and clear communication with stakeholders. Influence and collaborate effectively with cross-functional teams
- Actively assess and mitigate risks associated with data-driven decisions, upholding firm reputation, safeguarding assets, and ensuring strict compliance with regulations, policies, and ethical standards
Skills
- 3+ years in ML/AI development, or 2+ years with a PhD in a related field
- At least 2 years of direct experience in Generative AI/LLM development
- Hands-on expertise in statistical analysis and machine learning modelling
- Proficiency in Python and essential packages (scikit-learn, pandas, SpaCy, TensorFlow, PyTorch, transformers)
- Proficiency in PySpark and big data frameworks (Hadoop, Spark, Hive, Hue)
- Expertise in NLP and deep learning frameworks
- Proven experience with generative AI development, including prompting, RAG, and LLM fine-tuning using packages like Langchain, LlamaIndex
- Strong knowledge of data modelling techniques
- Exceptional ability to use complex analytical, interpretive, and problem-solving techniques; demonstrated innovative thinking
- Excellent interpersonal, verbal, and written communication skills to effectively collaborate and influence
- Proven ability to work independently as an individual contributor, translating business needs into technical solutions
- Bachelor's/University degree with 3+ years of relevant experience or 2+ years of experience with a PhD in a related field
- Good to have: Exposure to graph neural networks and graph databases
Benefits
- Medical and dental coverage
- Both pension and 401(k) plans
- A minimum of 15 days of vacation plus ten observed holidays and three paid personal days
- A range of programs and benefits designed to support your physical, financial, and social well-being
- Opportunities to develop new skills and progress your career
- Support and coaching from some of the most engaging and knowledgeable colleagues
- A collaborative environment where everyone works together to create a better working world
- Excellent training and development prospects
- A comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Team-led and leader-enabled hybrid model
- Flexible vacation policy
- Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being
Company Overview
Company H1B Sponsorship