As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
Job DescriptionWe are seeking a Data Scientist in our Hyderabad office who treats engineering as a core discipline and AI as their primary creative partner. In this role, you will move beyond static modeling to build and validate living agentic systems within our business workflows, utilizing frameworks like LangGraph, Cortex and AgentCore to solve complex financial puzzles. We need a hybrid thinker who can not only architect a multi-agent workflow but also build the evaluation harnesses and datasets necessary to prove it works. If you are a data scientist who loves to build, test, and ship intelligent systems at speed, this is the perfect opportunity to scale AI at Invesco.
You Will Be Responsible For:
- Collaborating software engineers, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources.
- Designing and implementing complex reasoning loops using frameworks like LangGraph, LangChain, or AgentCore, transforming static LLMs into dynamic, goal-oriented agents.
- Developing robust evaluation frameworks and "gold-standard" datasets to measure the performance, faithfulness, and accuracy of generative outputs.
- Building and maintaining data pipelines and validation layers that feed our AI tools, ensuring high-quality structured and alternate data inputs.
- Collaborating with full stack engineers to integrate AI models into business workflows, using AI-assisted coding to move from a notebook experiment to a functional microservice in record time.
- Implementing systematic testing (e.g., RAG evaluation, stress testing) to ensure AI solutions meet the high compliance and reliability standards of the financial services industry.
- and applying emerging techniques in prompt engineering, fine-tuning, and multi-agent systems to solve unique business challenges.
The Experience You Bring:
- 3-5 years of demonstrated experience in data science or machine learning, with a strong emphasis on Natural Language Processing (NLP) and Generative AI.
- Strong foundation in Python and cloud-native development; you write clean, modular code and are comfortable with Docker and CI/CD.
- Exposure to or high enthusiasm for learning LangGraph, LangChain, Copilot Studio, or AgentCore with Strands.
- Familiarity with creating evaluation metrics and building datasets for model validation and testing.
- Proactive use of AI tools (GitHub Copilot, Cursor, etc.) to accelerate technical tasks and explore new libraries.
- A desire to work at the intersection of Data Engineering and Full Stack development, with the agility to pivot based on rapid sprint feedback.
At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office.
Why Invesco
In Invesco, we act with integrity and do meaningful work to create impact for our stakeholders. We believe our culture is stronger when we all feel we belong, and we respect each other’s identities, lives, health, and well-being. We come together to create better solutions for our clients, our business and each other by building on different voices and perspectives. We nurture and encourage each other to ensure our meaningful growth, both personally and professionally.
We believe in diverse, inclusive, and supportive workplace where everyone feels equally valued, and this starts at the top with our senior leaders having diversity and inclusion goals. Our global focus on diversity and inclusion has grown exponentially and we encourage connection and community through our many employee-led Business Resource Groups (BRGs).
What’s in it for you?
As an organization we support personal needs, diverse backgrounds and provide internal networks, as well as opportunities to get involved in the community and in the world.
Our benefit policy includes but not limited to:
- Competitive Compensation
- Flexible, Hybrid Work
- 30 days’ Annual Leave + Public Holidays
- Life Insurance
- Retirement Planning
- Group Personal Accident Insurance
- Medical Insurance for Employee and Family
- Annual Health Check-up
- 26 weeks Maternity Leave
- Paternal Leave
- Adoption Leave
- Near site Childcare Facility
- Employee Assistance Program
- Study Support
- Employee Stock Purchase Plan
- ESG Commitments and Goals
- Business Resource Groups
- Career Development Programs
- Mentoring Programs
- Invesco Cares
- Dress for your Day
In Invesco, we offer development opportunities that help you thrive as a lifelong learner in a constantly evolving business environment and ensure your constant growth. Our AI enabled learning platform delivers curated content based on your role and interest. We ensure our manager and leaders also have many opportunities to advance their skills and competencies that becomes pivotal in their continuous pursuit of performance excellence.
To know more about us
About Invesco: https://www.invesco.com/corporate/en/home.html
About our Culture: https://www.invesco.com/corporate/en/about-us/our-culture.html
About our D&I policy: https://www.invesco.com/corporate/en/our-commitments/diversity-and-inclusion.html
About our CR program: https://www.invesco.com/corporate/en/our-commitments/corporate-responsibility.html
Apply for the role @ Invesco Careers: https://careers.invesco.com/india/
Skills Required
- 3-5 years experience in data science or machine learning with emphasis on NLP and Generative AI
- Strong foundation in Python
- Experience with cloud-native development
- Experience with Docker and CI/CD
- Familiarity creating evaluation metrics and building datasets for model validation and testing
- Exposure to or enthusiasm for LangGraph, LangChain, Copilot Studio, AgentCore (with Strands), or Cortex
- Proactive use of AI-assisted coding tools (GitHub Copilot, Cursor, etc.)
- Experience or willingness to collaborate with software and data engineers to productionize AI into microservices
Invesco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Invesco and has not been reviewed or approved by Invesco.
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Retirement Support — Retirement programs emphasize a strong 401(k) design with immediate eligibility and match vesting, alongside references to employer contributions that support long-term savings. Materials position retirement offerings as a core element of a comprehensive total-rewards package.
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Parental & Family Support — Parental leave is positioned as a robust offering in the U.S. and EMEA, with detailed paid-leave durations previously disclosed and an emphasis on inclusive, gender-neutral policies. Company information indicates broad parental-leave availability as part of total rewards, subject to local specifics.
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Leave & Time Off Breadth — Paid time off and holidays are highlighted as meaningful components of the package, with flexibility noted in some areas. Feedback suggests certain U.S. exempt roles use flexible or “unlimited” PTO approaches that enhance practical time-off access.
Invesco Insights
What We Do
Invesco is an independent investment management firm delivering an investment experience designed to help people get more out of life.
