Graduate Data Scientist

Role Overview

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.

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

Key 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