Senior Data Scientist

Ascendion; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Ascendion is seeking a Data Scientist/Engineer to design, build and deploy scalable data and AI solutions that support Real Time Content Operations. The role blends data science, data engineering and automation, with a strong focus on reliable ETL pipelines, data models and AI-enabled workflows using the Microsoft tech stack.

You will collaborate with business, product, engineering and operations teams to deliver production-ready solutions that improve data quality, efficiency and client

Qualifications

• Experience delivering scalable data, automation or AI solutions in production environments.
• Advanced Python programming for data engineering and automation.
• Strong SQL and data modeling skills.
• Experience with MSFT Fabric, Azure and Power Platform preferred.

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.
• 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.

Skills

ETL pipelines

Python for data engineering

SQL and data modeling

MSFT Azure data services

Power BI

Education

Data/Analytics degree or equivalent

Tools

Power Automate

Azure data services

Job description

Location :: Bangalore (Hybrid - 2 days in a week onsite)

Must Have Skills & Non-Negotiable skills:

• Designing, developing and maintaining scalable ETL processes.
• Data science and data engineering background with AI capabilities.

Job Description:

• 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 MSFT 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.

What You'll Be Doing

• 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.
• 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.

What We're Looking For

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 MSFT Azure data and AI services, including:
• Power BI
• Power Automate
• 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 MSFT-centric cloud environments and modern data platforms.
• Good stakeholder management and communication skills.
• Ability to mentor and support less experienced team members.
• Strong focus on delivering measurable business outcomes rather than experimental or academic research.
• Experience working across business, product and engineering functions would be an advantage

Qualifications

• Experience in Data Science, Data Engineering, Analytics Engineering or a related field.
• Experience delivering scalable data, automation or AI solutions in production environments.
• Demonstrated success applying data science, automation and data engineering capabilities to improve business processes and operational efficiency.
• Experience working with MSFT Fabric, Azure and Power Platform solutions is strongly preferred.

About Ascendion:

• Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the 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.