Data Scientist - Markets Sales Technology (noida)

Brightonparkbank

Noida, India
Hybrid
Advanced analytics and machine learning solutions
Data collection, extraction, and preparation
Scalable data pipelines and analytical workflows
Brightonparkbank is seeking a Data Scientist for its Markets Sales Technology team in Noida, India. The role focuses on leveraging data analytics and machine learning to inform strategic decision-making and improve operational efficiency within the bank

Job Summary

  • Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
  • Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities, collaborating with business stakeholders to seek out opportunities to add value from data through Data Science.
  • Spearhead the evolution of our digital landscape, driving innovation and excellence by harnessing cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

Matching Summary

Match Score: 85

Brightonparkbank is seeking a Data Scientist for its Markets Sales Technology team in Noida, India. The role focuses on leveraging data analytics and machine learning to inform strategic decision-making and improve operational efficiency within the bank.

Skills & Requirements

Must-have

  • Advanced analytics and Machine Learning solutions
  • Data collection, extraction, and preparation
  • Scalable data pipelines and analytical workflows
  • Predictive, statistical, and machine learning models
  • GenAI techniques (NLP, RAG)
  • Stakeholder engagement with senior partners
  • Regulated enterprise environments
  • Data governance and model risk management

Nice-to-have

  • Experience in Banking, Finance, or Capital Markets
  • Strong programming skills in Python and SQL
  • Delivering analytics or ML solutions into production
  • Familiarity with Enterprise Data Platforms
  • MLOps / AI governance practices
  • Balancing strategic thinking with technical execution

Key Requirements

  • Experience with advanced analytics and Machine Learning
  • Experience with data preparation and cleaning
  • Experience building data pipelines
  • Experience developing predictive models
  • Experience with GenAI techniques
  • Strong stakeholder engagement skills
  • Experience in regulated environments
  • Experience leading cross-functional initiatives

Work Rights

Not specified

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