Principal Consultant - Data Scientist Lead
- Salary
- Not stated
- Level
- Staff
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 2 October 2026.
The team: Data & Analytics HIRES STEADILY
This role is one of 85 open in Data & Analytics. 19 were posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (33 of 85), Azure (31 of 85), Python (31 of 85), GCP (30 of 85), Agile (29 of 85), CI/CD (25 of 85), Machine Learning (21 of 85)
OTHER ROLES ON THIS TEAM
- Principal Data Architect posted Oct 15
- Data Engineer with DataBricks posted Oct 15
- Finance Data Engineer posted Oct 15
- Senior AI Product Analyst | Bank posted Oct 14
- Data Engineer | Banking posted Oct 12
- Data Analyst - GCP Big query posted Oct 8
- AI Governance Lead | Bank posted Oct 8
- Senior AI Product Analyst | Bank posted Oct 8
- Data Architect posted Oct 5
- AI Engineer posted Oct 2
- Technical Data Lead posted Sep 30
- GCP Data Engineer posted Sep 29
- Mid/Senior Data Engineer (Kraków/GCP) posted Sep 28
- Data Governance Specialist posted Sep 21
- MLOps/AI Engineer/ Data Scientist posted Sep 21
- GCP Data Engineer-LBG posted Sep 18
- GCP Data Engineer-LBG posted Sep 18
- GCP Data Engineer posted Sep 18
- Data Governance Analyst | Banking posted Sep 17
- Data Governance Specialist | Banking posted Sep 16
- AI Architect posted Sep 16
- AI Architect posted Sep 16
- AI Architect posted Sep 16
- Data Architect posted Sep 16
- Data Architect posted Sep 16
- Data Architect posted Sep 16
- Python Developer | Banking posted Sep 15
- Data Business Analyst – GCP / Hadoop posted Sep 10
- Data Engineer Snowflake - Qatar posted Sep 9
- Data Modelling Consultant (Insurance) posted Sep 7
- Data Modelling Consultant (Insurance) posted Sep 7
- Data Modelling Consultant (Insurance) posted Sep 7
- Data Modelling Consultant (Insurance) posted Sep 7
- Senior Data Architect (DataLake) posted Sep 7
- Data Engineer (DataLake) - All levels posted Sep 7
- Payments Product Owner | Digital & Mobile Banking posted Sep 3
- Qliksense Developer posted Sep 3
- Data Architect Lead posted Aug 31
- AI Engineer | Financial Services posted Aug 31
- Data Architect posted Aug 24
- Senior Consultant - Data posted Aug 21
- Principal Consultant – Semantic Data & AI Engineering posted Aug 17
- Expert Data Analyst posted Aug 17
- Mid Data Analyst posted Aug 13
- Senior Data Engineering - GCP Lead posted Aug 6
- Senior Data Engineering - PSM-Libra posted Aug 6
- Senior Data Migration Specialist posted Jul 29
- Senior AI Fullstack Engineer posted Jul 28
- AI Engineer | Insurance posted Jul 23
- Senior Data Scientist posted Jul 22
- AI Strategy & Transformation – Managing Principal posted Jul 20
- Principal Consultant - Data posted Jul 16
- Senior Data Consultant – Architecture, Modelling & Products posted Jul 10
- GCP Platform Engineer posted Jun 30
- Data Engineer with Kafka posted Jun 19
- Alteryx Developer posted Jun 17
- Sr Data Modeler posted Jun 11
- Senior Data Engineer (Banking) posted May 22
- Data Architect (Banking) posted May 22
- Data Analyst - Data Remediation - Mumbai posted May 15
- Data Management Consultant posted May 1
- AI Architect posted Mar 5
- Senior Data Architect - Wealth & Asset Management. posted Feb 19
- Management Consultant: Data Analytics Lead – Managing Principal (Director) posted Feb 6
- Applied AI & Analytics - Principal Consultant posted Jan 31
- Senior Data Analytics Consultant posted Jan 29
- Lead Data Analytics Consultant posted Jan 29
- Data & AI Strategy Consultant - Manager/Senior Manager posted Jan 28
- Senior Data Architect posted Jan 28
- Senior Data Modelling Consultant posted Jan 28
- Senior Data Scientist posted Jan 20
- Data Modeler posted Jan 13
- Data Science Manager posted Oct 29
- Data Strategy & Advisory Leader (Managing Principal) posted Sep 4
- Senior Data Analyst posted Aug 14
- GenAI Engineer posted May 19
- GenAI Engineer posted May 19
- GenAI Engineer posted May 19
- GenAI Engineer posted May 19
- Data Analyst with German language posted Oct 3
- Generative AI Engineer posted Apr 5
- Data Analyst with German language posted Jul 24
- Data Analyst with German language posted Oct 20
- Data Analyst with German language posted Oct 20
From the team and dates on Capco's own job board.
About the role
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.
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