At a Glance
- Tasks: Support high-impact data projects and engage with senior stakeholders in financial services.
- Company: Join ace, a leading post-digital advisory firm transforming financial institutions.
- Benefits: Competitive salary, mentorship from executives, and potential for permanent role.
- Other info: Immediate start with excellent career growth opportunities in a dynamic team.
- Why this job: Make a real impact in a fast-paced environment 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. This role is 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
Graduate Data Scientist employer: G MASS Consulting
At ace, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Graduate Data Scientist in our London office, you will benefit from direct mentorship from senior advisors, rapid exposure to executive-level stakeholders, and the opportunity to contribute to high-impact projects within the financial services sector. With a strong focus on employee growth and a commitment to transforming the industry through cutting-edge technology, ace is the ideal place for ambitious individuals seeking meaningful and rewarding careers.
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 insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by practising common data science questions. We should also be ready to discuss our projects and how they relate to the role. Show off our SQL skills and any experience with cloud platforms like Snowflake!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a thank-you email to express our appreciation. It keeps us on their radar and shows our enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills align with ace's 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 communication skills – they’re key for this role!
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 examples of your work, especially if they involve data analysis or cloud platforms. It shows us what you can bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at G MASS Consulting
✨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 querying and analysing data structures, as this will be crucial for the role.
✨Understand the Company and Its Clients
Research ace and its partnerships, especially with financial institutions. Familiarise yourself with their approach to automation and AI in regulated environments, so you can speak knowledgeably about how you can contribute.
✨Prepare for Stakeholder Engagement
Since this role involves communicating with senior stakeholders, practice articulating technical findings in a clear and concise manner. Think of examples where you've successfully engaged with non-technical audiences.
✨Show Your Consultative Side
Be ready to demonstrate your understanding of change management and how it applies to data science. Prepare to discuss past experiences where you defined strategy or gathered requirements, showcasing your consultative instincts.
