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, direct mentorship, and potential for permanent role after 12 weeks.
- Other info: Immediate start in London 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.
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.
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
- 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 employer: ACE
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. Our commitment to employee growth and development, combined with the chance to work at the forefront of post-digital advisory solutions, makes ace a truly rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the financial services sector. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and data visualisation. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
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 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 that demonstrate your technical foundations and problem-solving abilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our ace team!
How to prepare for a job interview at ACE
✨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 cloud data platforms like Snowflake. This will show that you have the technical chops for the role.
✨Master the Art of Communication
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 previous experiences, as this will demonstrate your consultative instincts.
✨Understand the Financial Services Landscape
Familiarise yourself with the challenges and opportunities within financial services, especially around automation and AI. Being able to discuss these topics will not only impress your interviewers but also show that you're genuinely interested in the industry.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle ambiguity. Think of past experiences where you had to adapt quickly or manage change, and be ready to share those stories. This will highlight your proactive nature and ability to thrive in fast-paced environments.
