Lead Data Scientist
Bangalore-Affluence, India
Nasdaq
Get the latest stock market news, stock information & quotes, data analysis reports, as well as a general overview of the market landscape from Nasdaq.Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow. As a Lead Data Engineer, you will play a key role in the delivery of complex technical systems of varying sizes to new and existing customers and will be part of discovering new technologies within the FinTech industry.
We are now looking for a Lead Data Engineer to strengthen the Corporate Access Platform’s AI COE team in Bangalore. You will be responsible for driving the execution of initiatives across the Capital Access Platform’s AI COE program to help various business operations and process simplification and introduce automation via Artificial Intelligence and drive efficiency and productivity.
We are looking for candidates who share those values along with a genuine desire and drive to deliver top technology solutions to today's markets.
With this position we offer
Join the development organization for Capital Access Platform’s AI COE team. The main objective for the development team in Bangalore is to build state of the art AI powered solutions to simplify operations & process across CAP products and drive productivity. As our new member, you will work with a group of enthusiastic and experienced team members. Together with your team, you will be accountable for delivering enhancements and supporting the architecture of the enterprise product as it transitions to new software paradigms.
Your role and responsibilities:
We are seeking an experienced Lead Data Engineer to develop machine learning projects from inception to deployment. The ideal candidate will bridge technical and business objectives while leading multi-functional teams to deliver high-impact ML solutions.
Equal opportunity to lead and architect end-to-end data pipeline solutions for AI/ML projects
We Design and implement scalable data infrastructure to support machine learning operations
Oversee data quality, governance, and security protocols across platforms
We lead and mentor a team of data engineers and analysts
Collaborate with ML engineers and data scientists to optimize data delivery
Establish best practices, coding standards, and development methodologies
Drive technical decision-making for data architecture and infrastructure
We build and maintain documentation for data systems and processes
Furthermore, you will:
Partner with business stakeholders to understand requirements and deliver solutions
Evaluate and implement new technologies to enhance data capabilities
Lead technical discussions and present solutions to senior management
Optimize data storage and processing costs
Conduct code reviews and ensure quality standards
Solve production issues and implement improvements
Develop strategies for data migration and integration
We expect you to have
- 12+ years of experience in data engineering, with 5+ years in leadership roles
- Experienced knowledge of SQL, Python, and data modeling
- Strong experience with cloud platforms (AWS/Azure/GCP)
- Extensive experience with Big data technologies (Spark, Hadoop ecosystem)
Consistent track record of building and maintaining data pipelines and data warehousing solutions (e.g., Redshift, BigQuery)
Experience with CI/CD practices and tools!
Strong background in data governance and security!
Education Qualification: Bachelor/Master in computer science.
It would be great if you
- Have experience with MLOps and ML pipeline optimization
- Have experience in regulated industries (Finance, Healthcare)
- Have contributed to open-source projects
- Have experience with real-time streaming technologies
- Are familiar with graph databases and processing
- Have experience with AI/ML tools and frameworks like TensorFlow or PyTorch
Does it sound like you? What happens now?
As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks.
What will it be like working here?
Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.
What do we offer you?
- Annual monetary bonus.
- An opportunity to become a Nasdaq shareholder
- Employee Stock Purchase Program Nasdaq stocks with a discount
- Health Insurance Program
- Flexible working schedule and hybrid way of work
- Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays
- Internal mentorship program – get a mentor or become one
- Wide selection of online learning resources, e.g., Udemy
Come as you are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information or any other status protected by applicable law.
Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services. As the creator of the world's first electronic stock market, its technology powers more than 100 marketplaces in 50 countries. Nasdaq is home to over 4,000 total listings with a market value of approximately $12 trillion.
To learn more, about our business visit business.nasdaq.com. Check out more about our Life at Nasdaq.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data BigQuery CI/CD Computer Science Data governance Data pipelines Data quality Data Warehousing Engineering Finance FinTech GCP Hadoop Machine Learning MLOps Open Source Pipelines Python PyTorch Redshift Security Spark SQL Streaming TensorFlow
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Salary bonus
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.