Graduate Data Scientist

Graduate Data Scientist

G MASS · London, United Kingdom (Hybrid) · Contract · Posted 2026-05-18

Salary: GBP 30,000–35,000

Workplace: hybrid

Description

About us:

ace is a specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls and operational risk to deliver production-grade outcomes at pace.

We are part of the G MASS Group, a global consultancy specialising in resource augmentation, change and transformation and technology advisory within financial services.

Role Overview:

ace has partnered with a leading UK asset management firm and requires an ambitious Graduate Data Scientist who will support a high-impact data and technology advisory engagement. You will work alongside senior ace advisors, engaging directly with stakeholders, contributing to discovery sessions, current-state analysis, architecture mapping and board-level deliverables.

We are looking for a data scientist equally comfortable working with databases and cloud data platforms as communicating strategy and recommendations to senior stakeholders. The successful candidate will bring strong technical foundations, particularly around data structures, SQL, and ideally Snowflake, alongside genuine consultative instincts, an understanding of how change management works in practice, and the professional presence to operate effectively in a regulated financial services environment.

Please note: this role is based full-time, five days a week, in our London office. Immediate availability is essential. The initial engagement is a 12-week fixed-term contract with strong potential to convert to a permanent option depending on performance.

Key Responsibilities:

• Support current-state discovery: document existing data processes, systems, and architecture
• Map data flows, vendor relationships and dependencies across the client technology estate
• Track and contextualise in-flight technology projects and migration activity
• Assist in the creation of current and future state architecture diagrams
• Analyse cloud data warehouse structures, schemas and migration requirements
• Support the design and documentation of API connections for third-party data access
• Explore and document AI capability options within the cloud data platform
• Contribute to technology strategy documents, recommendations summaries and executive presentations
• Conduct and support stakeholder interviews, workshops and working sessions
• Communicate technical findings and strategic recommendations clearly to both technical and non-technical audiences

Requirements

• Degree in Computer Science, Mathematics, Data Science, Statistics or a related quantitative discipline
• Strong SQL proficiency is essential for querying, analysing, and documenting data structures
• Solid understanding of database design principles, data modelling and relational schemas
• Experience with or strong working knowledge of Snowflake
• Ability to read, interpret and contribute to architecture and data flow diagrams
• Demonstrable consultative experience: an understanding of how change management works in practice, and the ability to define strategy, gather requirements, and translate technical findings into recommendations
• Strong stakeholder communication skills: confident engaging senior audiences; this is not a desk-based technical role
• Excellent written communication skills; capable of producing clear, structured, professional outputs
• Proactive and self-motivated, comfortable operating with some ambiguity in a fast-moving engagement

Nice to have:

• Prior internship, placement, or work experience in financial services or professional services / consulting
• Exposure to API design, consumption, or integration (REST, JSON, data feeds)
• Experience with data visualisation tools (e.g. Tableau, Power BI, or equivalent)
• Knowledge of cloud platforms (Azure, AWS, or GCP) and modern data infrastructure patterns
• Familiarity with AI/ML concepts and their application to enterprise data environments

Benefits

• Salary £30,000 – £35,000 depending on experience
• Initial 12-week contract with strong potential to convert to permanent depending on performance
• Full-time, five days a week in our London office
• Immediate start
• Direct mentorship from ace’s CEO and senior advisors
• Rapid exposure to executive-level stakeholder engagement in a regulated financial services environment
• Being a part of the growth of the first post-digital advisory firm focused on Financial Services

Apply

Apply at G MASS

---

Powered by Workable