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(s)

• 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.

Desirable Skill(s)

• 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.

If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Aarthy Sezhian at aarthy.s@sciente.com quoting the job title.