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 in a fast-paced setting.
- 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 usace 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.
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
- 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
- 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 £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 in London 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 in 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 in London
✨Tip Number 1
Network like a pro! Reach out to alumni, attend industry events, and connect with professionals on LinkedIn. The more people you know in the field, the better your chances of landing that dream job.
✨Tip Number 2
Practice your interview skills! Mock interviews can help you get comfortable with common questions and improve your confidence. Don’t forget to prepare some questions for them too – it shows you're genuinely interested!
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your studies, having tangible examples of your work can really impress potential employers. Make sure to explain your thought process and the impact of your work.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. It gives you a chance to stand out and show your enthusiasm for the role.
We think you need these skills to ace Graduate Data Scientist in London
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're looking for!
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 your skills align with our needs. Don’t forget to mention your consultative instincts and ability to communicate with stakeholders.
Showcase Your Projects:If you've worked on 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!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you're proactive!
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 analysing data structures and schemas, as this will be crucial in your role. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Consultative Skills
Prepare examples from your past experiences where you've successfully engaged with stakeholders or contributed to change management processes. Highlight your ability to gather requirements and translate technical findings into actionable recommendations. This will demonstrate your consultative instincts, which are key for the Graduate Data Scientist role.
✨Familiarise Yourself with the Company’s Focus
Research ace and its role in the financial services sector, especially regarding automation and AI solutions. Understanding their approach to governance and operational risk will help you align your answers with their values and objectives during the interview. It shows you're genuinely interested in the company and its mission.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you would handle real-world scenarios. Think about how you would document existing data processes or map data flows in a project. Practising these scenarios will help you articulate your thought process clearly and confidently during the interview.
