Senior Data Scientist

About Ascendion

Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact. We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth. Learn more at ascendion.com

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

- Build the coolest tech for world's leading brands

- Solve complex problems - and learn new skills

- Experience the power of transforming digital engineering for Fortune 500 clients

- Master your craft with leading training programs and hands-on experience

Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

We are looking for Data Scientist to design, build and deploy scalable data and AI solutions that support the transformation of Real Time Content Operations.

This role combines data science, data engineering and automation, with a strong focus on building reliable ETL pipelines, data models and AI-enabled workflows using the Microsoft technology ecosystem. You will work closely with business, product, engineering and operations teams to deliver production-ready solutions that improve data quality, operational efficiency, scalability and client outcomes.

Job Title - Senior Data Scientist

Key Responsibilities:

• Designing, developing and maintaining scalable ETL and data integration pipelines to support data acquisition, transformation and delivery.
• Building and deploying AI, machine learning and automation solutions that improve operational processes and data quality.
• Developing solutions using Microsoft technologies, including Microsoft Fabric, Azure Data Factory, Azure Machine Learning, Azure AI Services, Power Platform and related Azure services.
• Designing and implementing data models, transformation logic and quality controls across multiple datasets and systems.
• Leading the delivery of data science initiatives from concept through production implementation.
• Collaborating with engineering teams to establish robust, scalable and maintainable production environments.
• Driving improvements in data governance, lineage, monitoring and operational resilience.
• Working with stakeholders to identify opportunities for automation and process optimisation.
• Integrating data from multiple sources through APIs, databases and enterprise applications.
• Providing technical guidance and mentoring to content operations team.
• Supporting the evaluation and adoption of emerging AI, automation and Microsoft platform capabilities.
• Producing documentation, technical designs and implementation standards.
• Communicating technical solutions and business impact to senior stakeholders and non-technical audiences.

Minimum Qualifications:

Technical Skills

• Experience developing ETL processes, data pipelines and data integration solutions.
• Advanced Python programming skills for data engineering, analytics and automation.
• Strong SQL skills and experience designing data models and transformation workflows.
• Experience with Microsoft Azure data and AI services, including:
• Azure Data Factory
• Azure Machine Learning
• Azure AI Services
• Azure Functions
• Azure SQL
• Power BI
• Power Automate
• Copilot Studio
• Experience designing and optimising large-scale data processing solutions.
• Knowledge of data quality controls, monitoring frameworks and operational reporting.
• Experience deploying AI and automation solutions into production environments.
• Strong understanding of API integration, structured and unstructured data processing, and enterprise data architecture.
• Experience working within Microsoft-centric cloud environments and modern data platforms.

Location: Bangalore

Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!