Data and AI Scientist
3-7 years in data analytics, automation, AI/ML; experience with BI tools; design of data pipelines; hybrid work in Hyderabad.
End Date
Thursday 30 July 2026We Support Flexible Working – Click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
You will support the design and implementation of effective, straightforward engineering-driven solutions, harnessing Automation, AI, machine learning, and advanced statistical models to improve business performance process insight. Prioritise collaboration with Business Performance to understand their customer challenges, identify automation opportunities, and support the delivery of tailored data solutions and streamlined processes. Focus on end-to-end automation and data pipelines—including the integration and sourcing of data that drive efficiency and reduce manual intervention.Job Description
Experience: 3-7yrs
Location: Hyderabad
Essential Skills & Experience
Identifyand interpretbusiness needsandgaps andprovidesupport totechnical solutions that automate and evolve processes.
Experience with data analytics tools (e.g. Power BI, Tableau), low-code/no-code platforms (e.g. PowerApps, Power Automate, CoPilot Studio).
Demonstrable experience sourcing and integrating data into automated solutions.
Experience in engineering modelling techniques and automation solutions.
Proventrack recordin delivering analytics and process automation.
Growing understanding of future AI tooling such as Agentic AI and Generative BI, with a focus on automation.
Ability to work under pressure and meet tight deadlines without compromising quality.
Key Responsibilities
Engineer and deliver automation and data solutions, utilisinganalyticsand visualisation tools to support decision-making.
Find opportunities andsupportsolutions addressing their requirements and challenges.
Contribute to the develop andimplementation ofautomated workflows, processes, and reporting solutions that integrate data from key platforms.
Collaborate effectively across various teams toassistwiththedelivery of engineering solutions and tangible benefits.
Maintain data integrity and accuracy in all automated systems, upholdinghigh standardsof quality and compliance.
Contributeto the preparation ofengineeringdata for AI agents, advanced analytics, and Generative BI, committing tooperatingwithin the Group’s Data governance framework and operating model as both a consumer and producer of data.