
Gurugram · On-site
AI/ML Data Scientist
- Salary
- ₹9.3–25.2 LPAEstimated from Glassdoor data for this role at Barclays. The employer has not stated pay.
- Experience
- 0–1 yearsFreshers welcome
- Eligible batches
- 2024 · 2025 · 2026
- Location
- GurugramOn-site
About the role
Barclays is looking for an AI/ML Data Scientist to design, develop and operationalise statistical and machine learning models that support business decisions. The position is based in Gurugram and involves close collaboration with technology teams to deliver robust, well‑documented analytics solutions.
Responsibilities
- Create analytics and modelling solutions for complex business challenges.
- Work with technology partners to define data, environment and tool requirements.
- Develop high‑performance, documented models and demonstrate their value to stakeholders.
- Implement models as stable, testable software and help operationalise them.
- Provide ongoing support and monitoring for deployed models.
- Ensure compliance with Barclays risk and model governance policies.
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Eligibility
- Strong technical knowledge in data science and machine learning.
- Ability to lead or contribute as an individual contributor, depending on team structure.
- Demonstrated understanding of risk, controls and regulatory requirements.
Skills
- Proficiency in Python for data science.
- Solid SQL querying skills.
- Experience with Spark or PySpark for large‑scale data processing.
- Knowledge of AI/ML algorithms, including NLP.
- Familiarity with version‑control tools such as Git and Bitbucket.
- Use of JIRA for project tracking.
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Asked for
- Python
- SQL
- Spark
- PySpark
- Machine learning
- NLP
- Git
- Bitbucket
- Jira
Nice to have
- Teamcity
- Jenkins
- AWS
- Databricks
- Generative AI
Benefits
- Opportunity to work on cutting‑edge AI/ML projects in a global bank.
- Exposure to model risk management and governance frameworks.
- Collaborative environment with cross‑functional teams.
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About Barclays
Barclays plc is a British universal bank headquartered in London that provides retail, corporate, wealth, private, and investment banking services to individual, business, and institutional customers across the United Kingdom, the United States, and approximately forty other countries.
Founded 1690 · 10000+ employees · HQ London, England, United Kingdom
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