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 in London with excellent career growth opportunities.
- Why this job: Make a real impact in financial services 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.
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
Graduate Data Scientist in London employer: G MASS
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, ace provides a unique environment where your contributions are valued and your career can flourish.
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 people in the industry, attend events, and connect with professionals on LinkedIn. The more you engage, the better your chances of landing that Graduate Data Scientist role.
✨Tip Number 2
Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical skills and experiences.
✨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 interviewers. Make sure to explain your thought process and the impact of your findings.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at ace.
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 you can contribute to our team. Don’t forget to mention your consultative instincts and communication skills – they’re key for this role!
Showcase Relevant Projects:If you've worked on any projects related to data analysis or cloud platforms, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to engage with stakeholders.
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
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 data structures and schemas, as well as any experience you have with Snowflake. This role is all about data, so showing your technical prowess will definitely impress.
✨Show Off Your Consultative Skills
This isn't just a technical role; you'll need to communicate effectively with senior stakeholders. Prepare examples of how you've successfully gathered requirements or translated technical findings into actionable recommendations in the past. Being able to demonstrate your consultative instincts will set you apart.
✨Prepare for Stakeholder Engagement
Since you'll be engaging directly with stakeholders, practice articulating complex ideas in simple terms. Think about how you can convey technical concepts to non-technical audiences. Role-playing these scenarios with a friend can help you feel more confident during the actual interview.
✨Understand the Company and Its Environment
Research ace and its role within the financial services sector. Familiarise yourself with the challenges and opportunities in regulated environments, especially around automation and AI. Showing that you understand the company's mission and how you can contribute will make a great impression.
