At a Glance
- Tasks: Provide senior advisory and technical guidance on foundational data programmes.
- Company: Leading international fund and corporate services organisation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to challenge decisions and teach essential data practices.
- Why this job: Shape data strategy and governance while making a real impact in the organisation.
- Qualifications: Experience in data science and strong advisory skills.
The predicted salary is between 60750 - 74250 £ per year.
Ace has partnered with a leading international fund and corporate services organisation to appoint a Senior Data Scientist who will provide senior advisory and technical guidance across a foundational data programme.
The role sits with an internal data lead, a small data engineering function and an FP&A team.
You will challenge structural decisions, defend modelling choices to CTOs, and teach fundamental data science practices to ensure lasting capability inside the client organisation.
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Senior FP&A Data Scientist – Data Strategy & Governance employer: G MASS
G MASS is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. Employees benefit from a collaborative culture that encourages professional growth and development, alongside competitive remuneration and flexible working arrangements. With a focus on enhancing broker data handling capabilities, this role provides a unique opportunity to work with cutting-edge technology and contribute to impactful projects within a leading hedge fund.
StudySmarter Expert Advice🤫
We think this is how you could land Senior FP&A Data Scientist – Data Strategy & Governance
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior FP&A Data Scientist – Data Strategy & Governance
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, 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. 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
✨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!
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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!
✨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.
