At a Glance
- Tasks: Support high-impact projects by documenting data processes and mapping data flows.
- Company: Join a leading UK asset management firm with a focus on innovation.
- Benefits: Gain valuable experience, competitive pay, and potential for permanent employment.
- Other info: 12-week contract with opportunities for career growth.
- Why this job: Make a real impact in finance while developing your data science skills.
- Qualifications: Degree in a quantitative field and strong SQL skills required.
The predicted salary is between 28000 - 38000 £ per year.
ace is looking for an ambitious Graduate Data Scientist in London to support high-impact advisory engagements for a leading UK asset management firm. This role involves documenting existing data processes, mapping data flows, and contributing to strategic documents.
The ideal candidate will have a degree in a quantitative discipline, strong SQL proficiency, and excellent stakeholder communication skills.
The position is a full-time, 12-week fixed-term contract with potential for a permanent option.
Graduate Data Scientist — Finance Data Strategy (London) employer: ace
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StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist — Finance Data Strategy (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ace!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Graduate Data Scientist — Finance Data Strategy (London) at ace.
✨Leverage Professional Networks
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 ace.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Scientist — Finance Data Strategy (London) at ace, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Graduate Data Scientist — Finance Data Strategy (London)
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 ace, 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 ace. 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 ace
✨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 ace!
✨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.
