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- Tasks: Lead data analysis to create insights for a groundbreaking FinTech company.
- Company: Join a rapidly growing FinTech startup revolutionizing payment solutions for small businesses.
- Benefits: Enjoy a competitive salary, generous equity, and flexible office days.
- Why this job: Be the founding Data Scientist and shape the future of payments with your expertise.
- Qualifications: Proficiency in Python, SQL, and cloud infrastructure; experience with ML libraries is a plus.
- Other info: Opportunity for growth as the team expands with Series A funding next year.
The predicted salary is between 68000 - 92000 £ per year.
Job Title: Data Scientist (Mid/Senior) Salary: £85-110k + very generous equity (of the same value as your salary!)
Shoreditch (2 office days/week)
Industry: FinTech / Payments
Having raised over £7m at seed stage, this FinTech company is shaking up the payments space with their innovative real-time price comparison solutions, making card payments a lot fairer and cheaper for smaller businesses and their customers
As the company is gearing up for Series A funding next year, they’re looking to set up a Data Science team to leverage a vast amount of data they’re collecting from their clients on daily basis and turn this into valuable insights and analytics.
This will be the 1st/founding Data Scientist in the company, with a 2nd hire in this team budgeted for early 2025, and a possible further growth later in the year as the company expands.
Python
SQL
PostgreSQL
Cloud infrastructure – AWS is highly desirable, but GCP and Azure backgrounds are also ok
Bonus points:
Experience with TypeScript, R and React
Experience with TensorFlow or other ML libraries
Strong academic background
Tech Data Scientist employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Python and SQL prominently. Since these are key skills for the role, having specific examples of projects where you've utilized these technologies will help you stand out.
✨Tip Number 2
Highlight any experience you have with cloud infrastructure, especially AWS. If you’ve worked on projects that involved deploying data solutions in the cloud, be ready to discuss them in detail during the interview.
✨Tip Number 3
Since this is a founding Data Scientist position, emphasize your ability to work independently and take initiative. Share examples of how you've successfully led projects or made impactful decisions in previous roles.
✨Tip Number 4
Familiarize yourself with the FinTech industry and current trends in payments. Being able to discuss how data science can drive innovation in this space will demonstrate your passion and understanding of the company's mission.
We think you need these skills to ace Tech Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python, SQL, and cloud infrastructure. Emphasize any projects or roles where you've used these skills to derive insights from data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the FinTech industry and how your background aligns with the company's mission to make payments fairer. Mention specific experiences that demonstrate your ability to work with large datasets and provide actionable insights.
Showcase Your Technical Skills: If you have experience with TypeScript, R, React, or machine learning libraries like TensorFlow, be sure to include this in your application. Highlight any relevant projects or achievements that showcase these skills.
Highlight Your Academic Background: Given the emphasis on a strong academic background, include details about your education, especially if you have degrees or certifications related to data science or analytics. Mention any relevant coursework or research that supports your application.
How to prepare for a job interview at Wave Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud infrastructure. Highlight specific projects where you've utilized these technologies to solve real-world problems, especially in the FinTech space.
✨Demonstrate Your Analytical Thinking
Since this role involves turning data into valuable insights, be ready to explain your thought process when analyzing data sets. Use examples from your past work to illustrate how you approached complex data challenges.
✨Understand the Company’s Mission
Research the company’s innovative solutions in the payments industry. Be prepared to discuss how your skills can contribute to their mission of making card payments fairer and cheaper for smaller businesses.
✨Prepare for Behavioral Questions
As a founding Data Scientist, cultural fit is crucial. Prepare for questions about teamwork, leadership, and how you handle challenges. Share experiences that demonstrate your adaptability and problem-solving skills.
