Service Delivery Center, AI & Data, Data Scientist - Senior - Jacksonville

Senior Data Scientist

8+ years of experience in ML and AI development (or 4+ years with a PhD in a related field), possessing hands-on expertise in machine learning, statistical analysis, Natural Language Processing (NLP), Generative AI (LLM). The ideal candidate will combine strong technical acumen, quick learning abilities, and a proven track record in high-value analytical projects. This role requires robust business understanding, the capacity to independently drive innovative AI solutions, and the ability to mentor and guide junior team members.

Key Responsibilities

• 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.

Qualifications

• 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.