Data Science Lead

Brillio

Job Summary

We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will have hands-on experience with Copilot Studio, M365, Power Platform, AI Foundry, and integration services. You will work closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and enable digital transformation. Key responsibilities include developing and deploying AI models and automation solutions using Copilot Studio and AI Foundry, leveraging M365 tools and services, and designing and implementing workflows using the Power Platform. You will also build and optimize data pipelines, collaborate with stakeholders, and communicate complex analytical insights.

Must Have

  • 5-12 years of experience
  • Experience with Copilot Studio, M365, Power Platform, AI Foundry
  • Strong knowledge of data integration services and APIs
  • Proficiency in data modeling, visualization, and statistical analysis
  • Excellent problem-solving and critical-thinking skills
  • Strong communication and collaboration abilities

Good to Have

  • Experience with Azure or AWS cloud platforms
  • Experience with additional AI and machine learning frameworks
  • Familiarity with agile methodologies
  • Certifications in Power Platform, Azure AI, or M365

Job Description

Data Science Lead

Primary Skills
  • Sagemaker Studio, Vertex AI, Data Robot, SageMaker, Privacy (Federated Learning, Privacy preserving Algorithms), Model Provisioning: Kubernetes, Kibana, Databricks ML, Model Monitoring, Explainability (SHAPE, LIME, SHAPLEY), Azure ML, Bias Detection/Correction in Data, Big Query ML, Azure Synapse ML, Deployment Strategies (A/B, Blue green, Canary), Model testing, Integration testing, Domino Datalabs, Model Experimentation

Job requirements
  • Job Title: Data Scientist
  • Location: Bangalore / Gurgaon/Pune
  • Notice- 0 to 30 days

Job Summary:
We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will have hands-on experience with Copilot Studio, M365, Power Platform, AI Foundry, and integration services. You will work closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and enable digital transformation.

Key Responsibilities:
  • • Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry.
  • • Leverage M365 tools and services to integrate data-driven solutions within the organization’s digital ecosystem.
  • • Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI).
  • • Build, maintain, and optimize data pipelines and integration services to ensure smooth data flow across platforms.
  • • Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects.
  • • Communicate complex analytical insights in a clear and impactful manner to technical and non-technical audiences.
  • • Continuously research and evaluate new tools and technologies to improve existing processes and solutions.

Required Skills and Qualifications:
  • • Overall 5-12 years of experience
  • • Proven experience working with Copilot Studio, M365, Power Platform, and AI Foundry.
  • • Strong knowledge of data integration services and APIs.
  • • Proficiency in data modeling, data visualization, and statistical analysis.
  • • Experience with cloud platforms such as Azure or AWS is a plus.
  • • Excellent problem-solving and critical-thinking skills.
  • • Strong communication and collaboration abilities. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Skills:
  • • Experience with additional AI and machine learning frameworks.
  • • Familiarity with agile methodologies and collaborative tools.
  • • Certifications in Power Platform, Azure AI, or M365 are a plus.

12 Skills Required For This Role

Cross Functional Data Analytics Agile Development Aws Azure Data Visualization Kibana Power Bi Data Science Kubernetes Algorithms Machine Learning

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