---
title: 'Principal Consultant - Data Scientist Lead at Capco'
canonical: 'https://feeny.ai/job/principal-consultant-data-scientist-lead-capco-hong-kong-vbqtns88zndd'
type: 'job'
last_seen: '2026-09-07'
---

# Principal Consultant - Data Scientist Lead at Capco

- **Company:** Capco
- **Location:** Hong Kong, China
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/capco/jobs/8163840

## Job description

Data Scientist Lead

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

## The Role

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

You’ll 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, you’ll identify opportunities to reduce compute and inference costs while maintaining effective, resilient solutions.

You’ll provide configuration-level and code-level guidance, supported by clear estimates of implementation effort, expected savings and measurable outcomes. You’ll 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 You’ll 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 We’re 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

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s 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.

## About Capco

## Company Overview
- **One-liner**: Capco is a global management and technology consultancy specializing in the financial services and energy industries, known for its deep industry expertise and entrepreneurial culture.
- **Entity Type**: Private (Wholly owned subsidiary of Wipro Limited since 2021)
- **Headquarters**: London, England, United Kingdom
- **Founded**: 1998
- **Founders**: Rob Heyvaert

## Core Business
- **Primary industries**: Financial services (banking, payments, capital markets, wealth & asset management, insurance) and energy
- **Target customers**: Large enterprises in highly regulated sectors (B2B/Enterprise)
- **Mission/Purpose statement**: “Do something different by combining deep industry expertise, strong consulting fundamentals, real innovation, and a relentless focus on client impact.” [capco.com](https://www.capco.com/about-us)

## Products & Services
Capco delivers consulting services rather than standalone products. Major service areas include:

- **Banking & Payments**: Digital banking transformation, core modernization, payments advisory.
- **Capital Markets**: Technology and data transformation, operational efficiency, regulatory compliance.
- **Wealth & Asset Management**: Customer relationship enhancement, operational scalability, control environment strengthening.
- **Insurance**: M&A support, technology innovation, profitability improvement.
- **Energy**: Commodity trading and risk management, energy transition, utilities transformation.

All services are delivered as **management and technology consulting** engagements.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (acquired by Wipro in March 2021 for $1.45 billion) [linkedin.com](https://www.linkedin.com/company/capco)
- **Key Metric (Private)**: Total headcount of ~5,930 (9.2% YoY growth); 670 active job postings [linkedin.com](https://www.linkedin.com/company/capco)
- **Notable Investors/Partners**: **Wipro Limited** (parent company); earlier investor **Thomas Weisel Partners** (led $80M PE round in 2000)
- **Growth Signals**: +9.2% headcount growth year-over-year; +30.5% LinkedIn follower growth (530,600 followers); recruitment volume up 10.4% quarterly [linkedin.com](https://www.linkedin.com/company/capco)

## Competitive Advantages
- **Deep domain expertise** across financial services and energy – nearly three decades of focused experience.
- **Expert-led, AI‑infused** delivery model that embeds technology and AI into every engagement.
- **Strong brand and alumni network** (graduates of Capco work at UBS, Accenture, HSBC, etc.) – signals talent development and industry connections.
- **Low bureaucracy, entrepreneurial culture** – flat hierarchies encourage ownership and client impact.

## Strategic Focus
- Embedding AI and data as core enablers across all consulting work (“AI is not an add‑on – it is a core part of how we shape, build, and deliver value” [capco.com](https://www.capco.com/about-us)).
- Continuing to expand in energy consulting alongside core financial services.
- Driving measurable outcomes and lasting value for clients while maintaining a people‑first culture.

## Why Work Here
- **Culture**: “Be Yourself at Work” (#BYAW) is a foundational value promoting inclusion, authenticity, and belonging. Minimal hierarchy and entrepreneurial freedom are emphasized. [capco.com](https://www.capco.com/about-us/our-culture-and-values)
- **Learning & Development**: Structured programs from entry‑level Associate Talent Program (ATP) to experienced hire tracks; mentorship and hands‑on client exposure.
- **Wellbeing**: Wellbeing@Capco program integrated into culture; benefits designed to support work‑life balance. [capco.com](https://www.capco.com/about-us/our-culture-and-values)
- **Remote/Hybrid**: Not explicitly stated, but global offices in 43 countries suggest hybrid presence; role‑dependent.
- **Notable perks**: Global mobility opportunities, comprehensive benefits, flat structure allowing early responsibility.

## Sources
1. [capco.com](https://www.capco.com/) – Company overview
2. [capco.com - About Us](https://www.capco.com/about-us) – History, leadership, vision
3. [capco.com - Careers](https://www.capco.com/careers) – Culture, learning, benefits
4. [capco.com - Culture & Values](https://www.capco.com/about-us/our-culture-and-values) – ESG, #BYAW, wellbeing
5. [linkedin.com/company/capco](https://www.linkedin.com/company/capco) – Headcount, funding, acquisitions, recruitment data

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