Data Scientist
On-site · Gurugram, Haryana, India
Job Summary
Data Scientist at Barclays joins the Corporate AI Programme to spearhead the evolution of the digital landscape, driving innovation and commercial value from data across the Corporate Bank. Build relationships with senior stakeholders to identify opportunities, develop machine learning models and AI-powered solutions, leverage AWS services for data transformation and deployment, and deliver insights through data visualisation. Collaborate with the ML Ops team to productionise projects, design and test complex forecast models and simulations to uncover causal links between customer behaviour and business opportunities, and communicate complex technical ideas to non-technical stakeholders. The role emphasizes leadership and collaboration, with expectations to influence decision making, coach others, and align on enterprise objectives while upholding Barclays values and mindset.
Required Qualifications
- Bachelor or masters degree in data science (or similar) or equivalent commercial experience
- Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
- Ability to translate technical work into business terms and communicate value to business stakeholders
- Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
- Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code
- Strong experience in Python and SQL is a must
- Familiarity with AWS data science and AI services, including SageMaker and Bedrock
- Understanding of GenAI , LLMs and the RAG framework
- Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools
- Knowledge of code management methodologies and ability to implement these on projects
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