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
G MASS Consulting is an excellent employer that values autonomy and innovation, providing a dynamic work environment where you can significantly impact non-financial returns processes. With a strong focus on employee growth, we offer opportunities for professional development and a hybrid working model that promotes work-life balance. Join us in our London office to be part of a collaborative culture that prioritises excellence and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like G MASS Consulting.
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We think you need these skills to ace Graduate Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at G MASS Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at G MASS Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at G MASS Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at G MASS Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
