At a Glance
- Tasks: Drive efficiency in finance processes using data science and automation.
- Company: Private Equity backed property operations business in London.
- Benefits: Competitive salary, attractive benefits, and significant career growth opportunities.
- Other info: Enjoy autonomy and the chance to lead meaningful change in a dynamic environment.
- Why this job: Make a real impact by modernising finance processes with your data expertise.
- Qualifications: Strong Data Science background with skills in Python, SQL, and automation.
The predicted salary is between 80000 - 100000 £ per year.
SF Technology Partners are working with a Private Equity backed property operations business based in London who are looking to appoint a highly skilled Principal Data Scientist, focused on improving, automating and driving efficiency in the existing finance processes, as the business looks to modernise.
You will be given the autonomy to partner with key business stakeholders and be expected to quickly understand the existing processes and procedures in place, before utilising a highly analytical data driven approach to design, plan and execute significant process upgrades across the Finance function in conjunction with the CFO.
You will be expected to lean on demonstrable skills in API Integrations, automation scripting & RPA as well as to effectively use Python, SQL & other big data tools to optimize existing processes, ensuring more efficient working practices and resource allocation.
In order to succeed in a role of this nature, you must have a strong Data Science background, however equally critical is to have the right mindset and approach. This role calls for a candidate who demonstrates exceptional forward & sometimes unconventional thinking, they need to have a genuine curiosity around process optimization and how a data background can work to increase efficiencies in a Finance function.
This person must be prepared for a role that will offer incredible autonomy and the chance for exceptional growth, but will come with an expectation of delivering these efficiencies effectively.
In return you will receive a competitive salary, highly desirable wider benefits package, but most importantly, will offer the right candidate an opportunity to drive their career forward immeasurably by offering the opportunity and exposure to deliver meaningful change and process upgrades in a highly regarded Private Equity backed environment.
Principal Data Scientist - Finance employer: SF Technology Partners
At SF Technology Partners, we pride ourselves on being an exceptional employer that fosters a culture of innovation and autonomy. As a Principal Data Scientist in our London office, you will not only enjoy a competitive salary and a comprehensive benefits package but also have the unique opportunity to drive meaningful change within a dynamic Private Equity backed environment. We are committed to your professional growth, providing you with the resources and support needed to excel in your role and make a significant impact on our finance processes.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist - Finance
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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 SF Technology Partners.
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We think you need these skills to ace Principal Data Scientist - Finance
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 SF Technology Partners, 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 SF Technology Partners. 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 SF Technology Partners
✨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 SF Technology Partners!
✨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.
