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

Data Scientist

The WW DSP Analytics team is a centralized analytics organization within Amazon'...

Location

India , Hyderabad

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

Job Responsibility

Develop Science Solutions for DSP Performance: Design and implement data science solutions to optimize Delivery Service Partner (DSP) operations, capacity planning, and performance measurement across the global DSP network
Apply Advanced Machine Learning Techniques: Leverage solid research experience in Machine Learning and statistical modeling to identify opportunities for improving DSP analytics, forecasting models, and performance measurement systems
Optimize DSP Program Policies and Sentiment Risks: Analyze sentiment risks and enhance existing algorithms that support DSP program management, including scorecard metrics, capacity reliability models, and performance evaluation frameworks
Analyze Business Requirements with Return on Investment (ROI) calculation: Demonstrate superior logical thinking by quickly approaching large, ambiguous problems, translating high-level DSP program requirements into mathematical models, and applying models to predict the return on investment.
Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders
Accelerate GenAI footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity along with raising the bar on data quality.
Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains (performance metrics, financial data, operational data) using programming and statistical analysis tools to generate actionable insights
Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving, measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP program strategic needs
Partner Cross-Functionally: Work closely with Business Intelligence Engineers, program teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful business outcomes

Big Data Developer

The Big Data Developer is a senior level position responsible for establishing a...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Big Data/Application Development or systems analysis roles, including building and operating production-grade data pipelines on Hadoop/Spark
Extensive experience in system analysis and in programming of big data applications and data platforms
Proven experience designing and managing Hadoop-based architectures, including cluster configuration, resource management (YARN), and ecosystem integration
Strong understanding and hands-on expertise with the Hadoop ecosystem: HDFS, YARN, MapReduce, Hive, HBase, and Spark
Strong hands-on and architectural knowledge of Python, PySpark, Unix/Linux, and SQL
Experience with data modeling, ETL processes, and data warehousing concepts and implementation
Experience implementing data security and governance (e.g., RBAC, encryption, data quality, data lineage, catalog)
Exposure to AI/ML lifecycle management, MLOps, and GenAI solution patterns and integration points
Experience with major cloud platforms—AWS, Azure, Google Cloud—and related big data services (e.g., EMR, HDInsight, Dataproc, Databricks)
Subject Matter Expert (SME) in at least one area of Big Data/Application Development (e.g., Spark performance tuning, Hive optimization, HBase administration, data security)

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals, and to identify and define necessary platform and system enhancements to deploy new data products and process improvements
Design and implement scalable and efficient Hadoop architecture solutions encompassing core ecosystem components, including HDFS, YARN, MapReduce, Hive, HBase, and Spark
Collaborate with data engineers, data scientists, and analytics stakeholders to understand data requirements and deliver robust, reliable pipelines and analytical datasets
Develop Spark/PySpark solutions to support near real-time data ingestion, analytics, and reporting, ensuring high performance and reliability
Optimize Hadoop and Spark clusters for performance and resource utilization, including capacity planning, tuning, and job orchestration best practices
Maintain and monitor Hadoop infrastructure to ensure high availability, reliability, and observability
implement proactive alerting, logging, and issue resolution
Implement and enforce data security and governance policies (e.g., access controls, encryption, data quality, lineage, and cataloging) across big data platforms
Troubleshoot and resolve issues across the Hadoop ecosystem (jobs, services, resource management), driving root-cause analysis and permanent fixes
Provide expertise in the area and advanced knowledge of applications programming, ensuring application and data solution design adheres to the overall architecture blueprint and cloud reference patterns

Fulltime

New

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

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

A career in Data & Analytics at Barclays is a hub for top talent, from beginners...

Location

United Kingdom , Glasgow; London

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
Experience on building and deploying in cloud infrastructure such as AWS, Azure or GCP
Experience in leading on, building and deploying enterprise GenAI projects
Deep understanding of LLMs, GenAI frameworks and techniques e.g. RAG, Agentic AI, evaluation and monitoring
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

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
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness
Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes

What we offer

Fitness Suite
fitness classes
an on-site GP
a bicycle store
rooftop bar
clubs and societies
working parents club
hybrid working
structured approach to hybrid working

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

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

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