Data Scientist

2 weeks ago

Singapur, Singapore SCIENTE INTERNATIONAL PTE. LTD. Full time

Job Summary

An excellent opportunity for a Data Scientist to work on Generative AI (Gen AI) and Machine Learning (ML) projects, for a reputed organization. This role involves working closely with stakeholders across departments to improve business processes and deliver impactful AI-driven outcomes.

Mandatory Skill-set
  • Degree in Information Technology, Computer Science, Engineering, Business or Data Science;
  • Must have 3 years of experience in a Data Science role, preferably within AWS cloud environments;
  • Able to translate technical concepts into business use cases and obtain buy-in from stakeholders for the AI/ML use cases;
  • Experience in designing for GenAI models, including metrices and human-in-a-loop evaluation;
  • Must have exposure in SQL, Python, and Spark, AWS;
  • Must have experience in supervised and unsupervised ML techniques such as regression, clustering, and tree-based models;
  • Deep understanding of feature engineering, hyperparameter tuning, and model evaluation methods;
  • Hands-on experience implementing MLOps practices on AWS as well as AWS bedrock;
  • Familiarity with data warehouses and big data tools such as Redshift, BigQuery, Snowflake, Hive, S3;
  • Excellent communication and interpersonal skills, and able to work well with cross-organizational teams.
Desired Skill-set
  • AWS certifications;
  • Prior experience in financial services, telecommunications, or consulting industries.
Responsibilities
  • Own AI/ML use cases from ideation to production, including continuous monitoring and enhancement;
  • Serve as a Gen AI technical specialist within the Data Science team, designing and implementing models to support advisor sales journeys and operational efficiency;
  • Collaborate cross-functionally with data engineers, analysts, product teams, and business stakeholders to design and deliver robust AI/ML solutions;
  • Translate business problems into technical requirements through proactive stakeholder engagement;
  • Maintain detailed documentation covering dataset preparation, modeling approach, performance metrics, and workflow processes;
  • Ensure all AI/ML solutions comply with data privacy laws (e.g., PDPA) and AI governance policies;
  • Promote innovation and continuous improvement across AI/ML models and processes.

Please send your updated resume to at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (privacy policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

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