Principal Consultant - Data Scientist Lead

Posted Yesterday
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Hongtong, Linfen, Shanxi, CHN
Hybrid
Entry level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Be Yourself at Work, Make a Difference, and Act with Integrity are our values at Capco.
The Role
Lead hands-on optimization of fraud machine learning models, ML pipelines, and Google Cloud infrastructure. Improve performance, reliability, resilience, and operating costs across compute, storage, networking, training, inference, and distributed data workloads. Provide implementation-ready code and configuration guidance, estimate savings and effort, and apply software engineering practices including Python, SQL, CI/CD, testing, and code review. Collaborate with infrastructure, data science, and business stakeholders while using AI tools responsibly in regulated environments.
Summary Generated by Built In

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.


Skills Required

  • Strong hands-on experience in data science, machine learning engineering, or ML platform optimization
  • Deep experience with Google Cloud Platform, including optimizing cloud compute, storage, networking, and machine learning workloads
  • Strong Python and SQL skills
  • Experience building, validating, deploying, and optimizing production machine learning models and data pipelines
  • Experience with large-scale distributed data processing technologies such as Spark
  • Experience applying CI/CD, automated testing, modular design, and disciplined code review
  • Ability to collaborate with infrastructure, data science, and business stakeholders
  • Ability to apply AI-enabled workflows responsibly with appropriate guardrails, review, escalation, and auditability
  • Experience supporting fraud detection, financial crime, or high-volume decisioning models in financial services
  • Exposure to or implementation experience with Feedzai
  • Experience demonstrating measurable cloud or machine learning cost savings
  • Familiarity with production monitoring, model or platform observability, and performance optimization across complex machine learning environments
  • Experience applying Generative AI or Agentic AI to engineering or data workflows in controlled and regulated environments

What the Team is Saying

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The Company
HQ: London
6,000 Employees
Year Founded: 1998

What We Do

Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.

Why Work With Us

We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture

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