Gen AI -Data Scientist

Hello,

Hope you are safe and healthy. My name is Vibhrat Tripathi, resource professional with Mindlance, Inc. I am reaching out for the urgent requirement of one of the largest banks in the world. I noticed on your profile that you are open to new opportunities, and I have a job that is a great fit with your expectations. I would be interested to talk to you and take you through a great employment opportunity if you could please call me to discuss this as soon as possible.

• • AI engineering: Agentic AI frameworks (vertex), MCP, multi-agent orchestration, LLM API, RAG
  • Data Science: Lakehouse Architecture, Delta Lake, Iceberg, Snowflake, Databricks, Bigquery, Airflow, ETL, Quantitative Analysis, SQL, Python, PowerBI
    • 5+ years of information security engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, or education.
    • The Artificial Intelligence and Data Science Engineer is a senior, hands-on technical role responsible for developing and operationalizing AI, machine learning, and advanced analytics solutions that enhance the organization’s cybersecurity defense capabilities.
    • This role focuses on applying data science and AI techniques to security telemetry, automation, and cyber risk insights while ensuring solutions are secure, scalable, and production-ready.
    • The engineer works closely with cybersecurity operations, data engineering, and cloud teams to deliver impactful, data-driven security outcomes.

      Title: Gen AI -Data Scientist

      Domain: Enterprise Banking/Financial Services

      Location: - Charlotte, NC;  Hybrid (3 Days Onsite/2 Days WFH)

      Term: 12+ months- plus (possible extension or conversion)

      Job Descriptions:

       

      Required Qualifications:

    Required Qualifications:

    • 5+ years of experience in cybersecurity, data science, analytics, machine learning, or related technical fields.
    • Strong hands-on experience with Python, SQL, and common data science or ML frameworks.
    • Experience working with security telemetry and platforms such as SIEM, EDR, cloud, or identity systems.
    • Demonstrated experience deploying analytics or ML solutions into production environments.
    • Solid understanding of cybersecurity principles, threats, and defensive technologies.

     

    MUST HAVE:

  Preferred Qualifications:

  • Experience with generative AI or advanced automation in security or operational environments.
  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Knowledge of cybersecurity frameworks, including NIST, MITRE ATT&CK, or Zero Trust.
  • Relevant security, cloud, or AI/ML certifications.
  • Financial Services Preferred