Service Delivery Center, AI & Data, Data Scientist - Senior - Tampa
Role details
Job location
Tech stack
Job description
- Strategic Data Analysis & Insight Generation: Lead complex data analysis to uncover strategic insights, identify implications, and provide data-driven recommendations, effectively communicating findings through clear data visualizations.
- Advanced AI/ML Model Development: Design, develop, and implement advanced machine learning models and statistical analyses to solve complex business challenges, leveraging diverse banking data.
- Generative AI & NLP: 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.
- Deep Learning Implementation: 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.
- Research & Innovation: Proactively research and develop innovative AI solutions, staying abreast of the latest advancements in AI/ML to drive continuous business improvement.
- Technical Expertise & Development: 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.
- Business Translation & Communication: Translate intricate business requirements into technical solutions, ensuring strong alignment and clear communication with stakeholders. Influence and collaborate effectively with cross-functional teams.
- Risk Management & Compliance: 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.
Requirements
- Experience: 8+ years in ML/AI development, or 4+ years with a PhD in a related field. At least 2 years of direct experience in Generative AI/LLM development.
- Technical Skills:
- 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.
- Good to have: Exposure to graph neural networks and graph databases.
- Analytical & Problem-Solving: Exceptional ability to use complex analytical, interpretive, and problem-solving techniques; demonstrated innovative thinking.
- Communication: Excellent interpersonal, verbal, and written communication skills to effectively collaborate and influence.
- Autonomy: Proven ability to work independently as an individual contributor, translating business needs into technical solutions.
Education:
- Bachelor's/University degree with 8+ years of relevant experience or 4+ years of experience with a PhD in a related field.
What we look for
We're interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You'll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we're looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.
Benefits & conditions
We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes 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, and a range of programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:
- 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
About EY
As a global leader in assurance, tax, transaction, and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime., At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
- We offer 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. The base salary range for this job in all geographic locations in the US is $65,500 to $134,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $78,600 to $152,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted 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.