Data Scientist

Direct message the job poster from SCIENTE
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 involved 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, AW S;
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;
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.
Should you be interested in this career opportunity, please send in 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 the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website (
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
EA Licence No. 07C5639
Seniority level
Seniority level Associate
Employment type
Employment type Full-time
Job function
Job function Information Technology, Strategy/Planning, and Other
Industries Financial Services, Insurance, and IT Services and IT Consulting
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