At a Glance
- Tasks: Support high-impact data projects and engage with senior stakeholders in a dynamic environment.
- Company: Join ace, a leading post-digital advisory firm transforming financial services.
- Benefits: Competitive salary, mentorship from executives, and potential for permanent role.
- Other info: Immediate start with excellent career growth opportunities.
- Why this job: Make a real impact in the financial sector while developing your data science skills.
- Qualifications: Degree in a quantitative field and strong SQL skills required.
The predicted salary is between 30000 - 35000 € per year.
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. 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
Qualifications:
- 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
Salary & 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
Graduate Data Scientist employer: G MASS
At ace, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture, particularly for our Graduate Data Scientists. Located in the heart of London, we offer direct mentorship from senior advisors, rapid exposure to executive-level stakeholders, and the opportunity to contribute to high-impact projects in the financial services sector. With a strong focus on employee growth and development, we provide a supportive environment where your contributions are valued and can lead to permanent opportunities based on performance.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector on LinkedIn. Join relevant groups and engage in discussions. This can help us get our foot in the door and learn about unadvertised opportunities.
✨Tip Number 2
Prepare for interviews by practising common data science questions and case studies. We should also be ready to discuss our understanding of SQL and cloud platforms like Snowflake, as these are key for the role.
✨Tip Number 3
Show off our consultative skills! During interviews, we need to demonstrate how we can communicate technical findings to non-technical stakeholders. Use examples from past experiences to illustrate this.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of ace and its mission in the financial services space.
We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Graduate Data Scientist role. Highlight your SQL skills, any experience with Snowflake, and your understanding of data structures. We want to see how your background fits with what we do at ace!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Don’t forget to mention your consultative instincts and ability to communicate with stakeholders.
Showcase Your Projects:If you've worked on any relevant projects, whether in university or during internships, make sure to include them. We love seeing practical applications of your skills, especially if they relate to data analysis or cloud platforms.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
How to prepare for a job interview at G MASS
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and understand database design principles. Be ready to discuss how you would approach current-state discovery and document existing data processes. Familiarity with Snowflake will definitely give you an edge!
✨Communicate Like a Pro
Since this role involves engaging with senior stakeholders, practice explaining complex technical concepts in simple terms. Prepare examples of how you've communicated findings or recommendations in the past, especially in a consultative context.
✨Show Your Consultative Side
Demonstrate your understanding of change management and how it applies to data projects. Think of scenarios where you've gathered requirements or defined strategies, and be ready to share these experiences during the interview.
✨Be Ready for Real-World Scenarios
Expect to tackle questions that involve mapping data flows or discussing API connections. Brush up on your knowledge of cloud platforms and AI capabilities, as these are key areas for the role. Showing that you can think critically about these topics will impress your interviewers.
