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Data Scientist

Data Scientist

Income Insurance LimitedSingapore, Pedra Branca, Singapore
28 days ago
Job description

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Analytics Center of Excellence (COE) at Income is the enterprise team that champions and develops AI / ML solutions. We are focusing on in-house solution development as well as partnerships. To ensure the successful execution of Income’s enterprise strategy to build Analytics as a product through creating impactful AI / ML solutions, driving innovation and cultivating AI culture, we are seeking a highly skilled and experienced Data Scientist to join our team. The selected candidate will focus on building Generative AI based solutions to solve business problems. You will play a crucial role in understanding requirements from business stakeholders, transforming business challenges into AI / GenAI challenges, and building Gen AI applications.

Responsibilities :

  • Take the ownership of AI / ML use cases, from design and implementation to continuous enhancement.
  • Serve as a technical specialist on AI, with more focus on Gen AI, within a data science team. Design and develop solutions to improve advisors sales journey and optimize operational efficiency.
  • Collaborate with other data engineers, analysts, data scientists, product specialists, and other stakeholders to build well-crafted, pragmatic, and robust solutions that meet business requirements.
  • Stakeholder management and engagement. Proactively engage with stakeholders to understand their needs and translate them into technical requirements for AI / ML modelling.
  • Maintain documentation of dataset curation, modelling approach, model performance, code changes, and workflows.
  • Demonstrate a strong understanding of data privacy regulations such as PDPA, and AI governance guidelines to ensure compliance.
  • Foster an innovative and growth-oriented mindset, continuously seeking opportunities to enhance AI / ML models and drive improvements across the organization.

Requirements :

  • 3 - 5 years of experience in data science role with relevant experience in AWS platform.
  • A bachelor’s degree in computer science or equivalent.
  • Familiarity with techniques for Document Chunking, Embedding, Information Retrieval for improving model accuracy and relevance.
  • Expertise in Prompt Engineering for designing and managing effective prompts.
  • Hands-on experience with AWS Bedrock, including deploying solution using foundation models (e.g., Anthropic Claude, Amazon Titan, Meta Llama) and integrating them into scalable applications using APIs and orchestration tools.
  • Experience in designing and applying evaluation frameworks for Gen AI models, including metrics and human-in-the-loop evaluation. Able to implement validation process and guardrails to mitigate risks such as hallucination and misinformation, ensuring the reliability and trustworthiness of AI-generated outputs.
  • Experience in Agentic Flow for maximizing the utility of models, including understanding user intent and context to drive meaningful interactions.
  • In depth knowledge of supervised and unsupervised ML Models – linear & logistic regression, clustering, tree-based models like random forest, bagging and boosting models.
  • In depth knowledge on feature engineering techniques, hyperparameter tuning and model evaluation.
  • Proficient in SQL, Python, and Spark.
  • Proven experience in implementing MLOps practices on AWS.
  • Familiar with Data Warehouses such as Redshift, BigQuery, Snowflake, Hive, and S3.
  • Passionate about technology and always looking to upskill based on new developments in AI space.
  • AWS certifications will be a plus.
  • Experience in the financial industry, telecommunications, or consulting is preferred.

    • Seniority level

    Seniority level

    Executive

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Information Technology, Consulting, and Analyst

    Industries

    Information Services, Insurance, and Technology, Information and Media

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    Data Scientist • Singapore, Pedra Branca, Singapore