Senior Data Consultant

6 days ago

Bangalore, India SCIENTE Full time

Sciente Group is a multi-award winning, ISO9001/Great Place to Work certified, Singapore headquartered technology focused organisation with business interest in Singapore (HQ), USA, Malaysia, Philippines and India. We are looking for a hands-on Senior Data & AI Consultant with an aptitude for building Data pipelines, Data Products and AI/ML models . This role, based in Bangalore (India) , will focus on solutioning, pre-sales support and delivering scalable data pipelines, data products, enabling ML workflows, and ensuring platform governance for enterprise-grade Data & AI solutions proposed to APAC/USA clients. Participate in pre-sales support, client PoC development , solution demos, and project schedule/scoping of implementation rollouts. Design and implement enterprise-grade data pipelines, data products and ML workflows . Build and maintain SQL-based transformations , automated recipes, and flow orchestration with scenarios. Integrate external Python/R code into DSS projects for advanced analytics use cases. Collaborate with data scientists, analysts, and engineering teams for scalable solution delivery. Monitor performance of deployed models, pipelines, and Dataiku server resources. Overseas travels as required for short assignments/on-site client meetings. Experience & Skills: Data Management: 3 to 7 years of hands-on experience in designing, building, and managing end-to-end data pipelines, data products and ML workflows , including visual recipes, Python/R code recipes, scenario automation, and model deployment. SQL & Data Pipeline Engineering: Strong command of SQL for data transformation, preparation, and advanced joins/aggregation. Proven experience in building high-volume, optimized ETL/ELT pipelines across structured and semi-structured data. AI/ML Model Building: Experience in developing and deploying machine learning models , integrating with internal/external Python libraries, feature engineering, model performance monitoring, and retraining workflows. Data Governance & Platform Management: Understanding of governance best practices (project security, roles, versioning, lineage, audit logging, and reusable flow zones). Cloud Ecosystem Experience: Working knowledge of platform like AWS (S3/EMR/SageMaker) /Denodo / Databricks/ Snowflake. Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field. Work experience in Dataiku, Denodo is highly desired. Experience with CI/CD practices , Git integration , and DevOps automation . Exposure to data catalog, lineage tracking , or metadata management . Familiarity with building solutions for financial services and insurance sectors. Knowledge of visualization tools integrated with Dataiku/Denodo (Tableau, Power BI, etc.). 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 (

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