Python Data Science GenAI Analyst Job at Citi (Haryana)

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Python Data Science GenAI Analyst

Control Automation Data Science Sr Analyst (C11) - DS. Working at Citi is far mo...

Location

India , Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics)
5-8 years of experience in Data science role
Proficiency in programming languages like Python, R, or SAS
Experience in Python and relevant libraries (Numpy, Pandas, Scikit learn etc.)
Coursework related to Machine learning, Deep learning (NLP / OCR) and Programming
Good with understanding of LLMs and hands on experience on use and implementation of AI tools and prompt engineering
Hands on application experience using common ML frameworks such as TensorFlow, PyTorch, OpenAI and LangChain
Experience with big data platforms (e.g. Hadoop, Spark) and SQL databases
Demonstrated ability to write high quality code, develop Machine Learning models
Excellent verbal and written communication skills

Job Responsibility

Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets
Develop model to forecast trends, identify patterns and solve various business challenges
Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations
Design, develop, deploy advance algorithms to solve complex business problems
Optimize algorithms for scalability, performance, and accuracy
Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques
Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions
Communicate findings and recommendations to technical and non-technical stakeholders
Act as subject matter expert on Data Science methodology and best practices
Work with Data engineers to ensure availability, quality, and integrity of datasets

Fulltime

Product Manager - AI

Our enterprise Data and Technology team at Zelis is seeking a driven and analyti...

Location

United States , Remote; Boston; Morristown

Salary:

105000.00 - 140000.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

3+ years of technical product management with demonstrated ability to define product scope and deliver alongside technical teams
Strong understanding of and experience with Data Science, ML, GenAI, and Data Analytics concepts and other data/product tools such as SQL, Python, R, Spark, AWS, Azure, and Snowflake
An ability to listen to diverse audiences, identify requirements, gaps and barriers, and translate needs into AI and analytics solutions
Understanding and experience with machine learning, data engineering, and software engineering
Technical depth that enables you to drive discussions about design of AI solutions (including GenAI), machine learning models, ETLs, AI infrastructure
Possess strong communication skills, including experience being an active and expert listener, with clear verbal communication as well as explicit and mindful written communication skills
Well-versed in Agile frameworks and product tools such as Jira and Confluence
Experience guiding teams through the AI lifecycle, including collecting and collating use cases and managing intake processes for new AI use cases
Open to candidates with either B2B or B2C experience and outside the healthcare industry
critical to success in this role is being intellectually curious, a self-starter, and experience building AI products

Job Responsibility

Become an expert in your product areas, acting as the go to person for other stakeholders before speaking to the technical data science and software engineering teams
Collaborate with software engineers, data engineers, data scientists and other product teams to scope new or refine existing AI solutions that increase business value, adoption, and user engagement
Lead discussions with BU stakeholders to identify business process and underlying needs. Draft clear and concise business requirements and technical product documentation
Interface with internal to Zelis engineering and product teams to manage the intake process for new requests
Understand how your product areas link into the wider roadmap and be able to highlight both dependencies and opportunities for growth
Define key performance indicators to evaluate product
Be the voice of the customer in technical discussions and facilitate the relationship between the application teams and technical data teams for your product areas
Work with cross-functional teams and various stakeholders, including engineering, architecture, operations, product, marketing, partnerships, and customer success
Collaborate with technical product analysts to support engineering teams through the delivery lifecycle
Understand the implications of AI products to the healthcare industry, and be able to tell the story of how an individual receiving care maps to the problem you are solving.

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

Analyst-Data Science

Responsible for contacting clients with overdue accounts to secure the settlemen...

Location

India , Bengaluru Urban

Salary:

Not provided

Amex

Expiration Date

Until further notice

Requirements

1-2 years of building machine learning models using advance AI techniques
1-2 years of experience in working with product/engineering/automation development teams in a fast paced, complex, and dynamic environment
Undergraduate/Master’s/PHD in Computer Science/ Data Science/ Statistics/ Mathematics, MBA from institutes of global repute
Ability & experience in taking a prototype to a product stage
Strong quantitative, analytical, and structured problem-solving skills
Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
Excellent verbal and written communications skills
Experience defining and developing a new product or service
Good coding skills in Python, SPARK, Hive, GIT
Good Understand of Deep Learning Algorithms and NLP

Job Responsibility

Lead the ideation and launch of innovative AI/ML capabilities & services
Hands on Deep learning Algorithms like BERT, RNN, LSTM, Transformer, GRU, GAN etc
Building GenaI capabilities like Prompt Engineering, Fine-Tuning, RAG and Agentic frameworks
Working with MLOPs capability like MLFlow, AirFlow etc and understanding of deployment capabilities on public cloud (AWS, GCP) and on-prem infrastructure
Technically hands-on working with big data sets using Python/JAVA/SPARK, doing EDA and bringing insights from data
Building POCs basis on research papers analysis while simulating business impact and Transform MVPs to production grade capabilities in collaboration with engineering teams
Authoring and publishing papers, adopting open source tools, presenting in conferences, conducting R&D driving company revenue
Innovate ways to evangelize the product to drive Amex wide user adoption
Contribute to the strategy and roadmap of AI/ML Initiatives to help drive most impact
Evaluate prospective features in AI Services and ability to prioritise them with changing requirements in the direction of AI adoptions

What we offer

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Lead Data Analyst

As a member of the Enterprise Data & Analytics Team, the Lead Data Analyst is an...

Location

United States of America , Tempe

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Analytics, Data Science, Statistics, Computer Science, or related field, or equivalent experience
4+ years of experience in analytics or business intelligence, with leadership experience preferred
Advanced proficiency in Power BI, Excel, SQL, and Python/R
Experience with DevOps/MLOps and CI/CD processes
Exceptional communication and stakeholder management skills
able to influence executives and cross-functional teams
Strong strategic thinking and problem-solving skills
capable of framing complex business questions and designing enterprise-level analytical solutions

Job Responsibility

Develop, maintain, and optimize advanced and interactive Power BI dashboards to track business performance and identify opportunities for improvement
Serve as a trusted advisor to business partners, understanding their priorities and providing data-driven guidance to support decision-making
Collaborate across teams to frame analytical problems, design solutions, and drive execution of insights
Present findings clearly and effectively to technical and non-technical stakeholders, tailoring messaging to different audiences
Mentor and provide guidance to junior analysts to promote best practices in analytics, visualization, and stakeholder engagement
Set the technical direction for coding practices using Python/R, PySpark, SQL, and cloud-based tools (Snowflake, Databricks)
Oversee development of robust, scalable codebases, ensuring alignment with organizational strategy
Leverage GenAI to enable self-service analytics at scale
Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation

Fulltime

GenAI Engineering Lead

We are seeking an exceptional and highly motivated GenAI Tech Lead to join our d...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions, with a specific focus on GenAI adoption and Agentic AI for business process automation
Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued
Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies
Proficiency with transformers, agentic frameworks, vector stores, and advanced search algorithms
Hands-on experience with Retrieval Augmented Generation (RAG) implementations
Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
Extensive experience with data analysis and manipulation using tools like SQL and Pandas
Proficiency in database technologies including Oracle, Postgres, or MongoDB
Proven experience in designing and implementing robust REST and WebSocket APIs

Job Responsibility

Strategic Leadership & GenAI Adoption: Drive the identification, evaluation, and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms. Actively design, develop, and implement AI/ML solutions within financial applications, with a strong emphasis on practical GenAI adoption. This includes hands-on coding, prototyping, and deploying GenAI solutions
Agentic AI for Business Process Automation: Lead the end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise. This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data
Chatbot Development: Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources and unstructured data, leveraging GenAI for natural language understanding and generation in complex conversational flows
Document Processing & OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models
Text-to-SQL Implementation: Develop and deploy solutions leveraging Large Language Models to facilitate Text-to-SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases
Data Analysis & Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps, incorporating GenAI and Agentic AI possibilities into discussions
System Enhancements & Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI and Agentic AI components seamlessly
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI and Agentic AI where they can offer innovative solutions

Fulltime

Tech Analyst, Data & AI

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

3-5 years of experience leading enterprise data warehouse development teams
Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake
Expertise in building robust, scalable data pipelines for batch and streaming data
Proficiency in SQL, Python, stored procedures, and scheduling tools
Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend
Skilled in implementing monitoring and alerting mechanisms for data pipelines
Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability
Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows
Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field
Excellent communication, problem-solving, and analytical skills

Job Responsibility

Design & Implementation: Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions
Provide accurate effort estimations and assess feasibility of proposed architectures and data models
Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation
Pipeline Design & Development: Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks
Support the delivery of AI and data projects by designing and implementing streaming and/or batch pipelines
Design and document pipeline implementation strategies including, scheduling of jobs and workflows, dependencies, error handling, monitoring and alerting and unit testing
Monitor and resolve alerts/failures in prod/non-prod environments to ensure operational reliability
Participate in peer reviews and oversee the review and approval of code and pipelines
Environment Setup & Collaboration: Set up non-production and production environments including MFT flows, RBAC, cloud services, Git repositories, and defining appropriate branching strategies
Design, test, and maintain scalable data architectures, including databases and distributed processing systems

Data & AI Consultant

We are seeking motivated and high-potential talents to join our Data & AI teams ...

Location

Belgium , Brussels

Salary:

Not provided

Amaris Consulting

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Data, Engineering, Information Systems, or a related field
2 to 5 years of professional experience in Data, Analytics, AI, or a related role
Strong foundations in SQL and Python
Experience or academic background in one or more of the following areas: Business Intelligence & Data Visualization (Power BI, Tableau, Looker)
Data Engineering (ETL/ELT, Airflow, Spark, Kafka, DBT)
AI / Machine Learning (TensorFlow, PyTorch, scikit-learn, NLP, GenAI)
Cloud platforms (AWS, Azure, or GCP)
Excellent analytical, problem-solving, and critical-thinking skills
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
Fluent in both English and French ( Professional level )

Job Responsibility

Design, develop, and deploy data, analytics, and AI solutions aligned with business objectives
Build, optimize, and maintain data pipelines, ETL/ELT processes, and data platforms
Develop and deploy machine learning models (AI Engineer)
Design interactive dashboards, reports, and KPIs to support decision-making (Data Analyst / Power BI)
Analyze business needs and translate them into functional and technical specifications
Collaborate closely with cross-functional teams (business, IT, data, and product)
Ensure data quality, reliability, performance, and security across systems

What we offer

International professional experience in Brussels
Continuous learning through training programs and certifications
Exposure to innovative Data, AI, and digital transformation projects
Opportunity to contribute ideas and actively participate in business development
Individual coaching and mentoring from experienced professionals
A structured and evolving career path adapted to your profile

AI Productivity Analyst

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluatin...

Location

United States , San Ramon

Salary:

98000.00 - 123500.00 USD / Year

Dialpad

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields
Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects
Solid understanding of AI technologies, machine learning concepts, and their applications in business settings
Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise
Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders
Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment
Solid foundation in Python or SQL
familiarity with data-viz dashboards (Tableau, etc.)

Job Responsibility

Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks
Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows
Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption
Develop and present ROI models, providing actionable recommendations to senior leadership
Support implementation (including light configuration, prompt engineering, and user training) of selected solutions
Track business unit KPIs and OKRs post-deployment
iterate with partners and vendors to hit or exceed the 20% productivity target

What we offer

competitive benefits and perks
robust training program
inclusive office environment
certified Great Place to Work

Fulltime

Python Data Science GenAI Analyst

Citi

Location:
India , Haryana

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 10, 2026

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