Live opening · Posted 8 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Job Title: Head of Data Science, India GSC
We are looking for a principal-level developer who still wants to build and cares deeply about design. You will develop the user experience, APIs and supporting services for an internal platform that helps people across Asset Management understand the data behind business processes and improve its quality. Based in the Data and Analytics Office, you will work closely with business users and collaborate with data, AI and Technology colleagues to turn ideas into useful software. Technology leads production deployment and ongoing service operation, so you will build in partnership with them to the standards required for a secure, scalable and supported product.
In this role, you will:
This role suits you if you:
build complete web applications with modern TypeScript front ends (whether Angular, React or Vue) and Python services behind them, deployed through pipelines to the cloud;
have shipped applications to production that people use, and can show the results; • care about design as much as code, and simplifying things is your instinct;
are comfortable developing within a business-led data team while collaborating closely with Technology to bring applications into production;
have a history of building and launching things, at work or in your own time, and a portfolio that shows it.
It is unlikely to suit you if your recent role has been mainly architecture or oversight rather than hands-on coding, if you have not built Python back-end services, or if you have worked on only one side of the stack. Experience beyond the core profile is welcome, but it cannot replace it.
Build data applications end to end
Design and build the platform from interface to data layer, including TypeScript front ends (Angular or React), Python services and APIs (FastAPI ), and the data access, integration and transformation code behind them.
Translate loosely defined business and user needs into pragmatic designs and working software, iterating with users from prototype to pilot and, with Technology, into supported production services.
Architect for scale and change with clean service boundaries, performance under real load, and code that stays easy to extend as the platform grows.
Work with Technology colleagues on cloud deployment (Google Cloud), automated CI/CD pipelines, monitoring and the requirements for a secure and supported production service.
Build reusable components, API patterns and templates that make each subsequent platform capability faster to deliver.
Design experiences people want to use
Own UX and UI end to end. Understand business users' needs, sketch and test flows, and take designs from wireframe to polished interface without depending on a separate design team.
Simplify relentlessly, turning business processes, metadata, ownership, lineage, data-quality rules and exceptions into clear, intuitive views, and personalise experiences to each user's role and needs.
Design iteratively, using usage analytics and user feedback to measure engagement and refine what works.
Establish a design system and front-end patterns, built to accessibility standards (WCAG 2.2 AA).
Work with data , technology and AI colleagues
Work with Data Architecture and Governance and Data Product Owners so platform capabilities reflect agreed data models, definitions, ownership and controls.
Partner closely with Technology architects, engineers and service colleagues on solution design, integration, security, deployment and support. Technology will lead production readiness, controlled release and ongoing service operation.
Bring the work of data scientists and AI specialists into the platform where it adds value, with appropriate APIs, guardrails and telemetry.
Lead agentic development practice
Build day to day with GitHub Copilot and Claude Code, working in a spec-first way. Agree the plan, let agents implement in small increments, then review, test and refine.
Set up and maintain the team's AI development workflow, including repository instruction files (for example CLAUDE.md, AGENTS.md or Copilot custom instructions), reusable agent skills, custom agents and subagents, and MCP connections to approved tools. 3 PUBLIC
Build guardrails into the workflow, such as hooks and CI checks that enforce tests, linting and security scanning on AI generated code, and make sure no confidential data leaves approved boundaries.
Mentor colleagues in using these tools with judgement, including recognising when an agent's output should not be trusted.
Engineer to production standard
Work within the bank's software development lifecycle, including version control, code review, automated testing, CI/CD, security scanning, clear API specifications (OpenAPI) and documentation.
Design for enterprise requirements from the outset, including authentication and authorisation , auditability, resilience and supportability, and meet data protection, information security and AI risk requirements.
Agree engineering standards, interfaces and production requirements with Technology colleagues so capabilities developed within the Data and Analytics Office can be deployed and supported through Technology-led processes.
Set development standards and reference patterns for colleagues contributing to application development, lead design and code reviews, and mentor others to deliver to a consistent standard.
To be successful you will:
You should be able to evidence all of the following, through your portfolio and from roles in the last few years.
A track record of shipping web applications to production that real users adopted, with evidence of usage or engagement.
Experience at senior, staff, principal or lead level while remaining an active developer, with most of your recent time spent designing and writing code.
Expert TypeScript front-end development in at least one modern component framework (we use Angular and React; Vue is also relevant), with the depth to move comfortably between them, including state management, component design, testing
and performance.
Production experience building and securing Python
Skills
Python, TypeScript, React, FastAPI, Angular, Git, CI/CD
Experience
10+ yrs
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