Lead GenAI Data Scientist Job at Wells Fargo (Charlotte)

Senior Data Scientist

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Principal Data Science, GenAI

The Principal Data Scientist at T-Mobile encompasses tasks such as conducting ma...

Location

United States , Bellevue; Overland Park; Frisco

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

7+ years proven experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
4+ years demonstrated ability writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations while articulating and translating business questions and using statistical techniques to arrive at an answer using available data
4+ years experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud
4+ years experience in deploying data mining, visualization, and machine learning solutions using tools like Python, R, SAS in big data environments
Proficiency in SQL for complex data querying and management
Expertise in designing and implementing algorithms for predictive analytics and decision-making
Ability to lead and mentor a team of data scientists, driving project completion and innovation
Hands-on development experience with Azure services (e.g., Logic Apps, Function Apps, App Services, Blob Storage, CosmosDB)
Proficiency in GenAI workflows, including embedding, chunking, and working with LLM models such as GPT-4
Familiarity with managed identities and security integration within Azure environments

Job Responsibility

Leads and mentors a team of data scientists in the development of data science solutions
Manages data science projects from inception to completion, applying advanced analytical techniques
Designs and implements algorithms in data analysis, machine learning, and artificial intelligence
Enhances the company's capabilities in predictive analytics and decision-making
Collaborates with various stakeholders to translate data-driven insights into strategic actions
Contributes to maintaining the company's position as a leader in the telecommunications industry
Participates in other duties or projects as assigned by business management as needed

What we offer

medical, dental and vision insurance
a flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care
enhanced family support

Fulltime

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Data Scientist

Growth through diversity, equity, and inclusion. As an ethical business, we do w...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Familiarity with theory behind various deep learning concepts
Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
Fluency in Python and object programing, working knowledge of SQL and vector database
Solid experience with GCP/VertexAI is a must
Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude
Experience with microservice architectures
Experience with code repositories and code assistants
Strong business acumen
Ability to come up with creative solutions to address customer problem

Job Responsibility

Implementing end-to-end GenAI powered RAG & multi-agent systems: Providing guidance on system architecture & components
Building TTD system components: LLM Agents, LLM Agents setup & prompt engineering / prompting strategies, Routing, State management, Vector stores and more generally context providing, Rerankers, Validation and assessment rules
Supporting project delivery: Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Delivering high quality technical solution to the customer
Drawing conclusions and recommendations- including expected benefits

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
“Office as an option” model. You can choose to work remotely or in the office, depending on your location
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company. 76% of our managers are internal promotions

Data Science and AI Developer Lead

The Data Science and AI Developer Lead serves as the technical and operational f...

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

May 06, 2026

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
5+ years of experience in AI development, with a strong focus on Generative AI (GenAI) technologies and applications
Hands-on expertise in Python and GenAI frameworks (such as OpenAI, or similar)
Hands-on experience with cloud platforms (AWS, Azure) and building scalable solutions within those environments, well-architected framework and CI/CD practices
Demonstrated experience leading or mentoring technical teams, ideally in a distributed or matrixed environment
Strong understanding of prompt engineering, fine-tuning large language models, and deploying GenAI solutions in production
Excellent problem-solving, analytical, and communication skills
Proven ability to foster a collaborative, high-performance culture and drive engineering excellence
Experience working in environments that value iterative delivery, safe experimentation, and rapid learning

Job Responsibility

Technical leadership and day-to-day oversight of Senior AI Developers, AI Tech Leads and Data Scientists based in India
Acting as the primary point of contact for Senior AI Developers, AI Tech Leads and Data Scientists ensuring alignment with AI Platform standards and practices
Facilitating the flexible deployment of Senior AI Developers, AI Tech Leads and Data Scientists to support delivery and execution across existing Pods
Coach, mentor, and support Senior AI Developers, AI Tech Leads and Data Scientists fostering a culture of engineering excellence, safe experimentation, and continuous improvement
Ensure consistently apply shared ways of working, standards, and best practices as set by the AI Tech Chapter Lead
Coordinate with Pod Leads and the AI Tech Chapter Lead to allocate Senior AI Developers, AI Tech Leads and Data Scientists resources to Pods based on delivery needs and priorities
Provide technical guidance and support to Senior AI Developers, AI Tech Leads and Data Scientists, helping them translate business objectives into scalable, secure, and reusable solutions
Monitor and manage risk and quality, ensuring compliance with enterprise-grade standards and responsible AI principles
Facilitate knowledge sharing, documentation, and peer learning within the India AI Developer community
Act as the focal point for feedback, escalation, and communication between India-based AI Developers and the broader AI Tech Chapter

What we offer

Commitment to your ongoing development, including on the job opportunities and formal programs
Inclusive parental leave entitlements for both parents
Values led culture
Flexible work options
Generous annual leave, sick leave and casual leave
Cultural and religious leave with flexible public holiday opportunities
A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Fulltime

Lead Quantitative Analytics Consultant - NLP / GenAI

Analytic Consultant/Data Scientist is a partner-facing role and is responsible f...

Location

India , Bengaluru

Salary:

Not provided

Wells Fargo

Expiration Date

March 31, 2026

Requirements

8+ years of experience in the field of data science and analytics
Deep working knowledge of machine learning and deep learning, including model selection, training dynamics, overfitting, and evaluation tradeoffs
Practical mastery of prompt engineering and LLM behavior control, including structured prompting, chain-of-thought, robustness, and security considerations
Ability to design and optimize Retrieval-Augmented Generation (RAG) systems using embeddings, vector databases, chunking, and reranking techniques
Experience with model evaluation, monitoring, and Responsible AI, including bias, hallucination mitigation, governance, and human-in-the-loop validation
Strong MLOps/LLMOps capabilities, covering model lifecycle management, experiment tracking, deployment, cost control, and latency optimization
Proficiency in Python-based data science and software engineering, with experience integrating GenAI into scalable, production-grade systems
Exploratory Data analysis
Provide exploratory data analysis using Python/R/SAS / SQL
Experience with Databases like oracle , Teradata, Sql server

Job Responsibility

Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.
Person will be leading small group of junior data scientists and work as a technical lead to support enterprise grade Gen AI programs
He/she would be developing statistical/machine learning/GenAI models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R, Python, Spark, H2O, Aster etc.
Work closely with data engineers, BI and UI specialists and deliver top notch analytical solution for the bank.
Define business problem and translate it into analytical problem.

Fulltime

Solutions Engineer

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

Malaysia

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

Minimum 5 years of experience in a customer-facing technical role
A Bachelor’s degree or higher in Computer Science, Engineering, or a related field
Strong hands-on experience as an AI/ML practitioner — including model development, deployment, and lifecycle management
Proven ability to design and deploy MLOps pipelines (training, CI/CD, monitoring, retraining)
Experience working with GenAI models and frameworks (e.g., LLM orchestration, prompt engineering, RAG pipelines)
Excellent communication skills with the ability to explain technical AI concepts to both technical and business audiences
Fluent in Malay and English (spoken and written)
Solid understanding of machine learning, MLOps, and data science best practices
Experience with frameworks such as MLflow, Kubeflow, Airflow, or Cloudera AI

Job Responsibility

Collaborate with customers, partners, and prospects to understand business and technical requirements, and design data and AI solutions using Cloudera technologies
Architect end-to-end machine learning pipelines from data ingestion to model deployment and monitoring
Lead technical conversations around MLOps, data science workflows, and GenAI integration with enterprise platforms
Own the technical sales process from introduction through post-sales success, including expansion and renewal
Deliver demos, whiteboarding sessions, and proof-of-concepts that showcase real-world value
Evangelize Cloudera’s AI and data platform vision to data scientists, ML engineers, and business stakeholders
Work closely with Account Executives to drive customer success and strategic growth
Collaborate cross-functionally with Product, R&D, Marketing, and Customer Success teams

Fulltime

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Lead GenAI Data Scientist

Wells Fargo

Location:
United States , Charlotte ▼
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 22, 2026

Expiration:
March 22, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Lead GenAI Data Scientist

Senior Data Scientist

Principal Data Science, GenAI

Data Scientist, Product Analytics

Data Scientist

Data Science and AI Developer Lead

Lead Quantitative Analytics Consultant - NLP / GenAI

Solutions Engineer

Manager of Data Science

Lead GenAI Data Scientist

Wells Fargo

Location:United States , Charlotte ▼New York

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:March 22, 2026

Expiration:March 22, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Lead GenAI Data Scientist

Senior Data Scientist

Principal Data Science, GenAI

Data Scientist, Product Analytics

Data Scientist

Data Science and AI Developer Lead

Lead Quantitative Analytics Consultant - NLP / GenAI

Solutions Engineer

Manager of Data Science

Location:
United States , Charlotte ▼
New York

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
March 22, 2026

Expiration:
March 22, 2026