Company Description
We’ve arrived, strong and ready to develop a new page on payments history.
We are a group of ambitious people with only one mission at heart: to make the small merchant big. Through technology, innovation and the relentless will to change the status quo in the payments sector, we want to empower our merchants by giving them the tools that they need to succeed.
Our understanding comes from the powerful relationships we cultivate with them. Our goal is to hire better people than ourselves, maintaining the growth line we’ve been having since day one, adding new allies to our mission to disrupt the payments industry and revolutionize commerce in Europe. We hire people based on their true value and their growth capacity, entrepreneurial minds, inquisitive spirits and data-driven brains.
Your Team
A strong and talented team that's data-driven, inquisitive by heart and supports every decision based on carefully collected and organized information!
Are you excited about helping small businesses reach their full potential? Help us become the best data driven team and deliver on our core objectives.
Job Description
In this role, you’ll be:
- Leading the company with data to drive business solutions
- Working on projects including but not limited to transaction monitoring, customer onboarding, cost to serve cost to acquire calculation.
- Building predictive models to a production level with reusable code
- Working closely with and guiding the junior data scientists on the team
Qualifications
Your Story
- Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)
- 3+ years of professional working experience
- Someone who thrives in developing innovative, state-of-the-art products that can meet and surpass the latest advances in the field
- Proficiency in Python, Amazon SageMaker, SQL, Jupyter Notebook
- Experience with Machine Learning and statistical inference.
- Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation
- Ability to communicate outcomes of Analysis to business stakeholders
- Strong analytical and problem-solving skills
- Ability to think creatively and insightfully about business problems
Nice to have:
- Proficiency in Snowflake, Tableu
Additional Information
The Perks
- We trust you, so we offer flexible working hours, as long it suits both you and your team
- Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps
- Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support
- Cycle-to-Work Scheme
- Health and Life Insurance
- Pension Scheme
- 25 days of Annual Leave (+ Bank Holidays)
- Office snacks every day
- Friendly, comfortable and informal office environment in Central London
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