Data Scientist

Description

Curve was founded with a rebellious spirit, and a lofty vision; to truly simplify your finances, so you can focus on what matters most in life.

That’s why Curve puts your finances simply at your fingertips, so you can make smart choices on how to spend, send, see and save your money. We help you control your financial life, so you can go out and live the life you want to live.

With Curve you can spend from all your accounts, track spend behaviour and provide insights, and security to protect you from fraud. For the first time giving you bright insights and control of all your money in one beautiful place.

We’re developing a ground-breaking product with our customers at the core. Our user base is growing rapidly and we have exceptional metrics. We have funding from the leading names in tech investment, and a visionary leadership team who wants everyone who joins this remarkable adventure, to have the autonomy to masterfully develop their expertise.

Welcome to Curve. On a mission to help you live inspired.

Curve is looking for a Data Scientist to join the Data team in London. This is an existing team tasked with building scalable solutions to help make our internal and external customers' lives easier, more intuitive and allow our customers to optimise their Curve experience. Our work is characterised by advanced analytics and machine learning, high scale, complexity, and a constant need for innovation.

The ideal candidate will have proven experience employing advanced analytics to real-world business problems to deliver results. Strong analytical and algorithmic skills, knowledge of applied computational statistics, exposure to large-scale business data, experience working in cross-functional teams, and a track record of solution delivery in a relevant area are desirable.

Key Accountabilities:

• Utilise Google Cloud Platform to develop and deploy scalable analytics solutions that serve millions of customers. Some of the tools we use include: PyTorch, PyTorch Lightning, XGBoost, and BigQueryML.
• Collaborate with our Data and Engineering teams to produce solutions that drive immediate business value.
• Work with the VP of Data and Product teams to identify unique opportunities to leverage Curve’s data through advanced analytics and modelling.
• Launch prototype models in production with A/B testing to validate and optimise business impact.

Skills & Experience:

• Some experience with advanced analytics in production on distributed systems.
• Hold a BSc degree (or higher) in Computer Science, Mathematics, Engineering, or a related field. (Applicants with a degree in a related discipline who have demonstrated a strong grounding in engineering will also be considered).
• Experience solving real-world business problems using advanced analytics techniques.
• High attention to detail and strong investigative skills.
• Experience working with/managing stakeholders, particularly product managers.
• Proven ability to provide value and quantifiable real-world impact through a range of different analytics techniques.
• A good understanding of statistics, particularly Bayesian Statistics and Statistical Learning.
• Some experience working with large language models



Benefits:

• 25 days plus bank holidays
• Bonus days off for Learning & Development, Mental Wellbeing, Birthday, Moving House & Christmas
• Working abroad policy (up to 60 calendar days per year)
• Bupa Health Insurance (YuLife)
• Life insurance powered by AIG (5x Annual Salary)
• Pension Scheme powered by “People’s Pension” (4% Matched)
• EAP (Mental health & wellbeing support, Life coach, Career coach)
• 24/7 GP access (Smart Health via YuLife)
• Annual subscriptions to Meditopia & FIIT for your mind and body (via YuLife)
• Discounted shopping vouchers (via YuLife)
• Enhanced parental leave
• Ride to work scheme & Season ticket loan
• Electric car scheme
• Six nights of Night Nanny for new parents
• Free Curve Metal subscription for you and your +1

Requirements

Benefits

Key Accountabilities