At a Glance
- Tasks: Lead exciting data projects and build scoring models to match customers.
- Company: Join a networking organisation specialising in financial services.
- Benefits: Remote work with monthly London meet-ups, plus travel expenses covered.
- Other info: Opportunity to collaborate closely with stakeholders and drive innovative solutions.
- Why this job: Be the first Data Scientist and make a real impact on the team.
- Qualifications: 3-5 years of Data Science experience and proficiency in Python.
The predicted salary is between 50000 - 65000 £ per year.
We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish.
You will build a scoring model to match customers to the client and be able to work closely with stakeholders.
You will need:
- 3-5 years Data Science experience
- Python
Remote Data Scientist in Surrey employer: Harnham - Data & Analytics Recruitment
As a Remote Data Scientist with our innovative networking organisation in the financial services sector, you will enjoy a dynamic work culture that prioritises collaboration and creativity. With opportunities for professional growth and development, alongside the flexibility of remote work complemented by monthly team meetings in London, we offer a unique environment where your contributions directly impact our success. Join us to be part of a forward-thinking team that values your expertise and fosters meaningful connections.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist in Surrey
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector on LinkedIn. A friendly message can go a long way, and who knows, they might just know about opportunities that aren't advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python. This will give potential employers a taste of what you can do and how you can lead projects from start to finish.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've collaborated with others in past roles, as this is key for the position. We want to see you shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Data Scientist in Surrey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 3-5 years of Data Science experience and showcases your Python skills. We want to see how your background aligns with the role, so don’t be shy about including relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can lead projects from start to finish. Let us know how you can work closely with stakeholders to build that scoring model.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they relate to financial services or customer matching.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around scoring models and Python. Be ready to discuss your past projects in detail, as they’ll want to see how you’ve led initiatives from start to finish.
✨Understand the Financial Services Sector
Since the company focuses on financial services, it’s crucial to have a grasp of the industry. Familiarise yourself with common challenges and trends in this space, so you can speak intelligently about how your skills can address their needs.
✨Prepare for Stakeholder Interaction
You’ll be working closely with stakeholders, so practice articulating complex data concepts in simple terms. Think of examples where you’ve successfully communicated findings or collaborated with non-technical teams.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data projects or how they envision the Data Scientist role evolving within the team.
