Data Scientist - Genai, Llms

Manage and execute key analytical projects within the DATA area, aligning with strategic objectivesLead analytical teams to ensure successful project deliveryAnalyze large and complex datasets to uncover trends and insights that drive business decisionsDevelop predictive and generative models using statistical, machine learning, and LLM techniquesEvaluate, fine-tune, and optimize LLM models for domain-specific applicationsIntegrate LLMs into analytical solutionsLead iterative development of LLM-based solutionsConstruct knowledge bases, datasets, and performance evaluation methodologiesCollaborate with product managers, engineers, and designers to implement data-driven solutionsIntegrate LLM capabilities effectivelyPresent findings and recommendations to stakeholders across the organizationGuide and mentor less experienced team membersEnsure deliverables meet Advanced Analytics governance standards and best practicesBuild end-to-end data products incorporating cutting-edge AI for banking processesHelp develop an AI-supported customer relationship model for customers and managersRequirementsBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field5+ years of experience working as a Data Scientist, including significant work with LLMs and multidisciplinary projectsAdvanced technical knowledge of LLMs, including fine-tuning, prompt engineering, embedding elicitation, and model optimizationDeep expertise in Python, statistical modeling, and machine learningStrong proficiency in Pandas, NumPy, and scikit-learnHands-on experience with PySpark, TensorFlow, PyTorch, and HuggingFace TransformersProficiency in the end-to-end lifecycle of ML models, from dataset creation and EDA to testing and monitoring/retrainingIn-depth understanding of LLM risks, including hallucination, biases, and unpredictabilityDeep knowledge of machine learning techniques applied to complex business problems, including A/B testing for model performanceExcellent ability to translate complex technical concepts into actionable business insightsKnowledge of ethical AI principles and data privacy laws such as GDPR and CCPAPrevious experience in the financial industry is a plusPhD in Computer Science, Statistics, Mathematics, or a related field is a plusExperience with AWS, Google Cloud, or Azure, including Docker and Kubernetes is a plusKnowledge and application of causal inference methods is a plusSkills: Data Processing, English Language, ResolumeCore Competencies Demonstrates expertise in managing analytical projects and leading teams to deliver data-driven solutions, with a strong focus on LLM development and optimization.Proficient in translating complex data insights into actionable business strategies while adhering to advanced analytics governance standards.Highest-signal resume keywordsLLM Development and OptimizationPython ProgrammingStatistical ModelingMachine Learning TechniquesData Analysis and InsightsATS Optimization Keywords Hard SkillsData AnalysisStatistical ModelingMachine LearningPredictive ModelingGenerative ModelingLLM Fine-TuningPrompt EngineeringEmbedding ElicitationA/B TestingCausal Inference MethodsSoft SkillsTeam LeadershipMentoringCommunicationCollaborationProblem-SolvingIndustry KeywordsAdvanced AnalyticsEthical AI PrinciplesData Privacy LawsGDPRCCPAFinancial Industry ExperienceTools & TechnologiesPandasNumPyScikit-LearnPySparkTensorFlowPyTorchHuggingFace TransformersAWSGoogle CloudAzure#J-*****-Ljbffr

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field 5+ years of experience working as a Data Scientist, including significant work with LLMs and multidisciplinary projects Advanced technical knowledge of LLMs, including fine-tuning, prompt engineering, embedding elicitation, and model optimization Deep expertise in Python, statistical modeling, and machine learning Strong proficiency in Pandas, NumPy, and scikit-learn Hands-on experience with PySpark, TensorFlow, PyTorch, and HuggingFace Transformers Proficiency in the end-to-end lifecycle of ML models, from dataset creation and EDA to testing and monitoring/retraining In-depth understanding of LLM risks, including hallucination, biases, and unpredictability Deep knowledge of machine learning techniques applied to complex business problems, including A/B testing for model performance Excellent ability to translate complex technical concepts into actionable business insights Knowledge of ethical AI principles and data privacy laws such as GDPR and CCPA Previous experience in the financial industry is a plus PhD in Computer Science, Statistics, Mathematics, or a related field is a plus Experience with AWS, Google Cloud, or Azure, including Docker and Kubernetes is a plus Knowledge and application of causal inference methods is a plus Skills: Data Processing, English Language, Resolume Core Competencies Demonstrates expertise in managing analytical projects and leading teams to deliver data-driven solutions, with a strong focus on LLM development and optimization. Proficient in translating complex data insights into actionable business strategies while adhering to advanced analytics governance standards. Highest-signal resume keywords LLM Development and Optimization Python Programming Statistical Modeling Machine Learning Techniques Data Analysis and Insights ATS Optimization Keywords Hard Skills Data Analysis Statistical Modeling Machine Learning Predictive Modeling Generative Modeling LLM Fine-Tuning Prompt Engineering Embedding Elicitation A/B Testing Causal Inference Methods Soft Skills Team Leadership Mentoring Communication Collaboration Problem-Solving Industry Keywords Advanced Analytics Ethical AI Principles