At a Glance
- Tasks: Lead the development of credit decisioning models for SME lending.
- Company: Lovey, a forward-thinking company in the UK.
- Benefits: Hybrid work model, competitive salary, and collaborative environment.
- Other info: Flexible remote work with opportunities for professional growth.
- Why this job: Shape the future of lending strategy while working with data experts.
- Qualifications: Experience in decision science and model development.
The predicted salary is between 61650 - 75350 £ per year.
Lovey in the UK is seeking a Senior Decision Scientist to lead the development of credit decisioning models across SME lending.
You will own the end-to-end model lifecycle, from problem framing to deployment, while shaping the future of our lending strategy.
The role offers hybrid work, with two days per week in our Central Birmingham office, and the flexibility to work remotely most of the week, collaborating closely with Data and Risk teams.
#J-18808-Ljbffr
Senior Decision Scientist, SME Lending (Hybrid/Remote) in Birmingham employer: Love Finance Limited
Lovey is an exceptional employer, offering a vibrant work culture in the heart of Central Birmingham where ambition and performance are celebrated. With structured training, clear performance expectations, and a commitment to employee growth, we empower our Collections Advisors to excel in their roles while enjoying the benefits of being part of one of the UK's fastest-growing finance companies. Join us and be part of a team that values your contributions and supports your professional development in a dynamic, target-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Decision Scientist, SME Lending (Hybrid/Remote) in Birmingham
✨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 Love Finance Limited!
✨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 Senior Decision Scientist, SME Lending (Hybrid/Remote) at Love Finance Limited.
✨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 Love Finance Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Decision Scientist, SME Lending (Hybrid/Remote) at Love Finance Limited, 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 Senior Decision Scientist, SME Lending (Hybrid/Remote) in Birmingham
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 Love Finance Limited, 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 Love Finance Limited. 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 Love Finance Limited
✨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 Love Finance Limited!
✨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.
