Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join as the founding Data Scientist to analyze and transform client data into actionable insights.
- Company: Innovative FinTech startup revolutionizing payments with real-time price comparison solutions.
- Benefits: Enjoy a competitive salary, generous equity, and flexible office days in Shoreditch.
- Why this job: Be part of a pioneering team shaping the future of payments while making a real impact.
- Qualifications: Proficiency in Python, SQL, and cloud infrastructure; experience with ML libraries is a plus.
- Other info: Opportunity for rapid growth as the company expands and prepares for Series A funding.
The predicted salary is between 68000 - 154000 £ 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
Data scientist (marketing) employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data scientist (marketing)
✨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 data storage or processing in the cloud, be ready to discuss those in detail.
✨Tip Number 3
Since this is a founding 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
If you have experience with machine learning libraries like TensorFlow, make sure to mention it. Discuss any relevant projects where you've applied ML techniques to derive insights from data.
We think you need these skills to ace Data scientist (marketing)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist position. Highlight your experience with Python, SQL, and cloud infrastructure in your application.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences that align with the job description. Emphasize any experience you have with real-time data analysis and machine learning libraries like TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for FinTech and how your background makes you a perfect fit for this pioneering role. Mention your interest in being part of a founding team and contributing to the company's growth.
Showcase Your Projects: If you have worked on relevant projects, especially those involving data analytics or machine learning, be sure to include them in your application. Provide links to your GitHub or portfolio to demonstrate your technical skills.
How to prepare for a job interview at Wave Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and PostgreSQL in detail. Highlight specific projects where you've used these technologies to derive insights from data, as this will demonstrate your capability to handle the responsibilities of a Data Scientist.
✨Understand the FinTech Landscape
Research the current trends in the FinTech industry, especially around payment solutions. Being able to discuss how your skills can contribute to innovative real-time price comparison solutions will show that you're not just technically proficient but also aligned with the company's mission.
✨Prepare for Behavioral Questions
As the founding Data Scientist, you'll need to demonstrate leadership and initiative. Prepare examples from your past experiences that showcase your problem-solving skills, ability to work independently, and how you've contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future growth plans. This shows your genuine interest in the role and helps you assess if the company culture and vision align with your career goals.
