Senior Data & AI Consultant

Summary:

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.

Responsibilities:

• 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.
  
  
• Enable and maintain governance, access control , and compliance frameworks .
  
  
• 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.

Soft Skills:

Good communication skills with clients and stakeholders.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Information Technology or a related field.
  
  

Good To Have:

• 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.).
  
  

Only shortlisted candidates meeting mandatory pre-requisites shall be notified.

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