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Principal Consultant Data Scientist Lead

Capco


Job Location:

Hong Kong - Hong Kong

Monthly Salary: Not provided by the employer
Posted: 30 August 2026 (10 days ago)
Application Deadline: 27 November 2026
Vacancies: 1 Vacancy

Job Summary

Data Scientist Lead

Location: Hong Kong (Hybrid) Practice Area: Data & Analytics Type: Permanent

The Role

As a Data Scientist Lead at Capco youll help clients optimise fraud models machine learning platforms and supporting Google Cloud infrastructure turning detailed analysis into practical implementation-ready recommendations.

Youll take a hands-on approach to improving model and platform performance reliability and run-cost across GCP infrastructure and ML pipelines. Working closely with IT infrastructure teams data scientists and fraud stakeholders youll identify opportunities to reduce compute and inference costs while maintaining effective resilient solutions.

Youll provide configuration-level and code-level guidance supported by clear estimates of implementation effort expected savings and measurable outcomes. Youll also use approved AI tools and AI-enabled workflows where appropriate to accelerate analysis improve insight and support delivery while maintaining human judgement appropriate review and responsible AI guardrails.

What Youll Do

  • GCP engineering: Lead hands-on design diagnostics and optimisation across compute storage and network services implementing monitoring and observability to improve cost performance and reliability.
  • Fraud ML modelling: Support the development validation and deployment of fraud and ML models end-to-end identifying measurable opportunities to reduce compute requirements accelerate inference and improve automation.
  • ML and data pipelines: Optimise pipelines spanning ingest transformation feature creation and serving training and inference with a focus on cost efficiency performance resilience and responsible AI-enabled automation where appropriate.
  • Big data and distributed processing: Develop and tune large-scale batch and streaming workloads using Spark or similar technologies improving efficiency stability and production readiness.
  • Engineering excellence: Apply strong Python and SQL skills alongside CI/CD automated testing modular design and disciplined code review using approved AI tools where appropriate to improve engineering productivity while ensuring outputs remain subject to human review and established controls.

What Were Looking For

  • Strong hands-on experience in data science machine learning engineering or ML platform optimisation including the ability to translate analysis into practical implementation-ready recommendations.
  • Deep experience with Google Cloud Platform and the optimisation of cloud compute storage networking and ML workloads for performance reliability and cost.
  • Strong Python and SQL skills together with experience building validating deploying and optimising production ML models and data pipelines.
  • Experience with large-scale distributed data processing technologies such as Spark and applying sound software engineering practices including CI/CD automated testing and code review.
  • An ability to collaborate effectively with infrastructure data science and business stakeholders with curiosity about approved AI tools and the judgement to apply AI-enabled workflows responsibly including appropriate guardrails review escalation and auditability.

Bonus Points For

  • Experience supporting fraud detection financial crime or other high-volume decisioning models within financial services.
  • Exposure to or implementation experience with Feedzai including integration performance tuning or operationalisation.
  • Experience demonstrating measurable cloud or ML cost savings including reduced compute consumption faster inference or improved automation.
  • Familiarity with production monitoring model/platform observability and performance optimisation across complex ML environments.
  • Experience applying AI including Generative AI or Agentic AI where appropriate to engineering or data workflows within controlled and regulated environments.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative flat and entrepreneurial consulting culture
  • Access continuous learning training and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy.

Inclusion at Capco

Were committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage just let us know well be happy to help. We value each persons unique perspective and contribution. At Capco we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration a mindset that shapes how we work with clients and each other every day.


Required Experience:

Staff IC


About Company

Capco is a global management and technology consultancy dedicated to the financial services and energy industries.

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