GenAI Model Risk Data Scientist Job at Citi (Jersey City)

Business Analyst

Andersen is hiring a Business Analyst in Germany to support a large AI-driven di...

Location

Germany

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience working as a Business Analyst in software or data-driven environments for 5+ years
Experience working on AI/ML or GenAI initiatives, including model-driven features, automation, RAG, and LLM-based products
Ability to collect, analyse, and document business requirements for AI systems with unclear or evolving problem spaces
Understanding of AI fundamentals, including data quality, model lifecycle, inference vs. training, evaluation metrics, risks, and limitations
Experience transforming business needs into clear functional and non-functional requirements for AI teams
Strong skills in process analysis, workflow definition, and optimisation for AI-enabled use cases
Ability to analyse data sources, constraints, privacy implications, and readiness for AI use
Experience preparing user stories, acceptance criteria, and success metrics for AI features
Ability to work closely with Data Science, ML Engineering, Product, and Software Engineering teams
Strong stakeholder communication skills, with the ability to explain AI capabilities and limitations in simple terms

Job Responsibility

Gathering and documenting business requirements for AI/ML and GenAI initiatives, ensuring clarity for both technical and non-technical teams
Analyzing business processes and identifying opportunities where AI can improve efficiency, accuracy, or decision-making
Translating requirements into functional specifications, user stories, acceptance criteria, and measurable outcomes
Collaborating with Data Scientists and ML Engineers to align requirements with model capabilities and data constraints
Analyzing available data sources and assessing data readiness for AI use, including quality, structure, gaps, and risks
Facilitating communication between business stakeholders and technical teams to ensure expectations and limitations are well understood
Supporting product discovery and experimentation cycles (PoCs, prototypes, pilots), capturing learnings and shaping next steps
Reviewing and validating AI feature outputs, model behaviour, and user experience against defined acceptance criteria
Preparing process diagrams, workflows, documentation, and decision materials related to AI-enabled solutions
Monitoring the performance of delivered AI features and supporting iterative improvements based on user feedback and insights

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant
Guarantee of professional, financial, and career growth
The company has introduced systems of mentoring and adaptation for each new employee
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program

Senior Data Scientist

Join us as a "Senior Data Scientist" at Barclays, where you'll build analytical ...

Location

India , Gurgaon

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP
Significant experience applying machine learning methods with big data technologies
Significant experience in Python and the key analytical and machine learning libraries
Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code
Understanding of GenAI , LLMs and the RAG framework
Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business
Experience in providing technical mentoring to more junior colleagues

Job Responsibility

Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

What we offer

Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Data Scientist (AI Engineer)

Embark on a transformative journey as Data Scientist (AI Engineer) at Barclays, ...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Experience in Programming & Data Analysis: Python, SQL
Experience in Machine Learning & AI: Generative AI, Agentic AI, NLP, ML algorithms
Cloud Platforms: AWS (Sagemaker, Bedrock, Glue, Lambda, etc.)
Data Engineering: Data wrangling, pipeline development, cloud integration

Job Responsibility

Develop and deploy Generative AI and Agentic AI models using AWS services such as SageMaker and Bedrock
Implement autonomous AI agents capable of performing multi-step reasoning, decision-making, and task execution
Apply NLP techniques for text analytics, summarization, conversational AI, and intelligent document processing
Integrate GenAI and Agentic AI capabilities into business workflows for automated insights and operational efficiency
Build scalable data pipelines and workflows using Python, SQL, and AWS cloud infrastructure
Conduct model evaluation, monitoring, and retraining to ensure accuracy, adaptability, and compliance
Collaborate with cross-functional teams to identify AI-driven opportunities and deliver impactful solutions
Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing

What we offer

modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
flexible working arrangements
hybrid working

Fulltime

Vice President, AI Enablement

The Vice President, AI Enablement leads Parexel’s enterprise‑wide Artificial Int...

Location

United States , Remote

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

15+ years in data science, AI/ML, or technology leadership roles
at least 7 years in executive or senior leadership
Deep knowledge of clinical research processes, clinical data lifecycle, and pharmaceutical/life sciences regulatory expectations
Experience implementing enterprise AI platforms (GenAI, MLOps, data pipelines, automation)
Proven success operationalizing large-scale AI programs in GxP or other highly regulated industries
Familiarity with emerging AI regulations (EU AI Act, FDA, EMA expectations)
Experience with cloud-based AI ecosystems (Azure preferred)
Master’s degree or PhD in Computer Science, Data Science, Engineering, Bioinformatics, or related field preferred
Advanced business qualifications (MBA or equivalent) desirable
Excellent written and verbal communication skills

Job Responsibility

Define and evolve Parexel’s enterprise AI strategy, roadmap, and investment portfolio
Identify priority use cases aligned to business value, feasibility, and regulatory constraints
Conduct AI maturity assessments and establish long‑term capability-building plans
Co-chair AI governance
Define standards for model lifecycle management, validation, auditability, and transparency
Ensure compliance with GxP, global regulatory guidance, and responsible AI principles
Partner with Quality, Legal, and Compliance to operationalize risk management for AI systems
Oversee enterprise AI platforms, tooling, and data pipelines
Drive scalable architecture for GenAI, ML operations, retrieval‑augmented generation, and secure model hosting
Evaluate and integrate vendor platforms while ensuring data privacy and clinical-grade security

What we offer

Health, Vision & Dental Insurance
Tuition Reimbursement
Vacation/Holiday/Sick Time
Flexible Spending & Health Savings Accounts
Work/Life Balance
401(k) with Company match
Pet Insurance
Opportunity to work on innovative projects at the forefront of the industry
Collaborative and inclusive work environment that values your expertise
Professional advancement and development opportunities

Fulltime

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

Insurance AI GTM Director

The Insurance AI GTM Director will lead AI projects and mentor teams while devel...

Location

United States , Plano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years Insurance (P&C and/or L&A) domain experience, with deep understanding of underwriting, claims, policy administration, and distribution processes
3+ years consulting or professional services experience, delivering AI-driven transformation initiatives within the insurance industry
10+ years designing enterprise-scale data and AI solutions leveraging key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP Vertex AI, Azure AI)
3+ years experience with AI frameworks and programming (e.g., PyTorch, TensorFlow, Python) for model training, fine-tuning, and evaluation
1+ years direct experience with Generative and Agentic AI, including: Advanced RAG architectures (retrieval-augmented generation), Agentic AI frameworks for workflow orchestration and autonomous decisioning, Transformer-based models (e.g., GPT-4, Claude, LLaMA) and GANs for content generation and risk modeling, Use of GenAI copilots, chatbots, and underwriting assistants tailored for insurance operations
Strong understanding of AI governance, model explainability, and compliance in regulated insurance environments
Bachelor’s degree or equivalent (minimum 12 years relevant work experience)
Ability to travel up to 10–25% as required.

Job Responsibility

Lead and oversee the delivery of AI projects within the practice, ensuring they meet quality standards and are completed on time and within budget
Develop and implement strategic plans for the AI practice, aligning with overall business objectives
Mentor and guide AI teams, fostering a culture of innovation, collaboration, and continuous improvement
Establish and maintain best practices for AI project management, including methodologies, tools, and standards
Provide technical leadership and guidance in AI technologies, including GenAI, machine learning, deep learning, and natural language processing
Ensure the technical quality of AI solutions, including architecture, design, and implementation
Stay updated with the latest advancements in AI technologies and integrate relevant innovations into the practice
Participate in presales activities, including client presentations, proposal development, and solution demonstrations
Collaborate with sales and business development teams to identify new opportunities and develop AI solutions that meet client needs
Build strong relationships with clients, understanding their business challenges and proposing tailored AI solutions

Fulltime

Senior Data Scientist

Join us as a "Senior Data Scientist" at Barclays, where you'll build analytical ...

Location

India , Gurugram

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP
Significant experience applying machine learning methods with big data technologies
Significant experience in Python and the key analytical and machine learning libraries
Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code
Understanding of GenAI , LLMs and the RAG framework
Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business
Experience in providing technical mentoring to more junior colleagues

Job Responsibility

Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
Work with technical teams, architects, designers, and administrators to overcome technical challenges
Take ownership of key initiatives to deliver results through an agile workflow
Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance

What we offer

Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
Hybrid working

Fulltime

New

Wheels Supervisor

W Brisbane located at 81 North Quay, Brisbane City is hiring a Wheels Supervisor...

Location

Australia , Brisbane

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Outstanding guest service skills
Experience in supervising a team
Open Driver’s License
Experience with Opera property management system
Armed with smart solutions and a can-do attitude
Energised in a fast-paced environment
Excellent grooming and presentation skills
Must be available to work AM, PM, and Overnight Shifts

Job Responsibility

Lead our Concierge Team in delivering a wide range of services that guide guests through their entire stay
Provide our guests with the 'W' experience and surprise and delight them every moment you get
Focus on Loyalty and Guest Service

What we offer

The best hotel training opportunities produced independently by W Brisbane and internationally recognized training programs by Marriott International
‘Great Places to Work’ certified
Discounts on hotel rooms including all properties within the Marriott International group, for you and your family & friends
Discounts on food & beverage across all our hotels
Recognition programs to keep you motivated
Wellbeing & mindfulness programs to ensure you stay healthy
Employee Assistance Program

Fulltime

GenAI Model Risk Data Scientist

Citi

Location:
United States , Jersey City ▼
New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
September 09, 2025

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

Similar Jobs for GenAI Model Risk Data Scientist

Business Analyst

Senior Data Scientist

Data Scientist (AI Engineer)

Vice President, AI Enablement

AI Solutions Architect

Insurance AI GTM Director

Senior Data Scientist

Wheels Supervisor

GenAI Model Risk Data Scientist

Citi

Location:United States , Jersey City ▼New York

Category:IT - Software Development

Contract Type:Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:September 09, 2025

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

Similar Jobs for GenAI Model Risk Data Scientist

Business Analyst

Senior Data Scientist

Data Scientist (AI Engineer)

Vice President, AI Enablement

AI Solutions Architect

Insurance AI GTM Director

Senior Data Scientist

Wheels Supervisor

Location:
United States , Jersey City ▼
New York

Category:
IT - Software Development

Contract Type:
Employment contract

Job Posted:
September 09, 2025