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Artificial intelligence (AI) scientist / engineer - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Artificial intelligence (AI) scientist / engineer - D01 Cecil, Marina, People’s Park, Raffles Place, SG

MSG GLOBAL SOLUTIONS ASIA PTE. LTD.D01 Cecil, Marina, People’s Park, Raffles Place, SG
8 days ago
Job description

Roles & Responsibilities

About Us

The Core Insurance Business Unit delivers consulting and implementation services that help global insurers achieve digital transformation and operational excellence.

Our expertise spans system design, integration, and support for SAP / SAP Fioneer’s insurance applications (e.g., Policy Management, Claims Management, Incentives & Commission Management, Collections & Disbursements), as well as msg.life Factory , Europe’s leading policy administration system.

We are also advancing the use of Artificial Intelligence (AI) and Machine Learning (ML) in the insurance domain — building next-generation data-driven solutions to optimize underwriting, claims, customer engagement, and operational efficiency.

What You Will Do

  • Plan, design, and develop advanced AI / ML models and algorithms that solve real-world insurance challenges.
  • Extract, transform, and integrate data from multiple sources (structured and unstructured) to support model development.
  • Lead the research and prototyping of new AI methodologies (e.g., NLP, predictive analytics, deep learning) tailored to the insurance sector.
  • Explore and visualize complex datasets to uncover insights and business value for clients.
  • Conduct rigorous model testing, interpret findings, and evaluate performance for scaling and deployment.
  • Collaborate with SAP / insurance consultants to integrate AI solutions into core insurance platforms (e.g., FS-PM, FS-CM).
  • Identify risks, constraints, and assumptions in AI solution design, applying mitigation strategies.
  • Publish knowledge, share expertise internally, and contribute to thought leadership in AI for insurance .
  • Stay updated on emerging AI / ML technologies and assess their applicability to insurance transformation.

What We Are Looking For

Requirements

  • Bachelor’s degree (or higher) in Computer Science, Information Technology, Programming & Systems Analysis, or a related field.
  • Minimum 10 years of professional experience in AI / ML roles (e.g., AI Engineer, AI Researcher / Scientist).
  • Proven ability to design, test, and deploy AI / ML models in production environments.
  • Strong skills in statistics, data science, and programming (Python, R, Java, or similar).
  • Experience integrating AI with SAP or insurance core systems (FS-PM, FS-CM, FS-ICM).
  • Familiarity with AI / ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience handling large, real-time, unstructured datasets.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills and ability to work in cross-functional teams.
  • Fluent in English (spoken and written).
  • Nice to Have

  • Prior exposure to insurance technology or financial services.
  • Cloud experience with AI / ML services (AWS, Azure, GCP).
  • Master’s degree, MBA, or relevant AI certifications.
  • Additional local language skills.
  • What We Offer

  • The opportunity to shape the future of AI in insurance with one of the largest SAP insurance consulting teams worldwide.
  • A global, diverse workplace with leading experts in AI, SAP, and insurance.
  • Competitive compensation and benefits.
  • Continuous learning and professional growth in both AI innovation and the insurance industry.
  • [Add local specifics : flexible working, healthcare, wellness programs, etc.]
  • Tell employers what skills you have

    TensorFlow

    Machine Learning

    Factory

    Claims Management

    Operational Excellence

    Customer Engagement

    Artificial Intelligence

    Predictive Analytics

    Systems Analysis

    PyTorch

    System Design

    SAP

    Underwriting

    Python

    Statistics

    Data Science

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    Ai Engineer • D01 Cecil, Marina, People’s Park, Raffles Place, SG

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