Job Description

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.

Join us as a Data Scientist at Barclays, where you'll build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products. You will work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen. You will need to take ownership of key initiatives to deliver results through an agile workflow. Will have to design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

To be successful as an Data Scientist, you should have experience with:

Essential Skills And 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. Solid 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 exposu

📌 Data Scientist (Gurugram)
🏢 hackajob
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