NatWest Group is hiring for a fresher entry level Data Scientist role in India

Position:

• Role: Data Scientist

Company:

• Organization: NatWest Group

Location:

• Workplace: Gurugram, Haryana, India

Job Type:

• Employment Type: Associate level

Job Mode:

• Work Arrangement: Hybrid working model

Job Requisition ID:

• ID: Not specified

Years of Experience:

• Requirement: Looks like a fresher entry level opening as per the JD: 0-3 years
  

Company Description:

• NatWest Group is a leading banking organization, committed to creating a positive impact on its customers, communities, and economy.

• With a workforce of over 10,001 employees globally, NatWest fosters an inclusive work environment where innovation and collaboration thrive.

• The company prioritizes customer success, community engagement, and sustainable economic growth through its financial services.

• NatWest encourages a culture of learning and enterprise, aligning its strategic objectives with societal needs to drive meaningful change.

• The organization leverages advanced technology, robust data analytics, and ethical practices to deliver superior banking solutions.

Profile Overview:

• As a Data Scientist at NatWest, your role involves designing and deploying data science tools and methodologies to create impactful customer solutions.

• Collaborate with diverse stakeholders to foster a data-driven culture and improve strategic decision-making through advanced analytics.

• Apply statistical, mathematical, and machine-learning techniques to develop and implement ethical models end-to-end.

• Contribute to the organization’s broader data community by identifying opportunities that align with the bank’s strategic goals.

• Promote data literacy among business stakeholders to enhance organizational capabilities and outcomes.

Qualifications:

• Academic Background: Strong foundation in STEM disciplines such as Mathematics, Physics, Engineering, or Computer Science.

• Technical Skills:

  • Proficiency in Python, Tableau, and SQL.

  • Expertise in statistical modeling and machine learning techniques.

  • Solid understanding of software engineering fundamentals.

  • Experience in exploratory data analysis and creating data analysis pipelines.

• Industry Knowledge:

  • Familiarity with financial services.

  • Experience in fraud prevention and detection analytics.

• Soft Skills:

  • Strong communication and stakeholder management skills.

  • Analytical problem-solving abilities to address business challenges.

Additional Info:

• Responsibilities:

  • Collaborate with stakeholders to define business problems and opportunities addressable through analytics.

  • Use Agile methodologies to achieve project outcomes within multi-disciplinary teams.

  • Build, test, and deploy scalable software-driven products and services.

  • Conduct model performance validation, monitor production data, and address queries from stakeholders.

  • Improve existing dashboards and in-house Python packages for enhanced model monitoring.

• Opportunities for Growth:

  • Engage in the broader data community and influence organizational strategies.

  • Access flexible work arrangements and professional development programs.

• Organizational Impact:

  • Foster a data-driven culture and contribute to achieving the bank’s strategic objectives.

  • Enhance customer experiences by delivering purposeful data science solutions.

• Work Environment:

  • A collaborative and innovative workspace designed to support employee well-being and success.

Please click here to apply.

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