Data Scientist London, England
Job description
About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We're making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We're an award-winning London based fintech, with additional offices in Riga, Paris and Melbourne.
The role
Data is at the centre of our ability to add value to our customers and to our business. Fraud prevention, marketing optimisation, churn prevention, payment failure optimisation and upsell propensity are all areas of active work. As a Data Scientist at GoCardless, you will work closely with cross-discipline teams, taking responsibility for end to end algorithm development from initial concept through to production readiness.
Data Scientists are part of a larger group of data people at GoCardless, with BI Analysts, BI Engineers, Data Engineers, Machine Learning engineers and data infrastructure engineers all playing their part in ensuring we have a healthy data lifecycle, and enabling Data Scientists and Product teams to efficiently deliver value from our data. In particular, our Machine Learning Enablement team is there to provide tools for data scientists to build, deploy and monitor our ML models.
GoCardless run's most of our technology stack on the Google Cloud Platform, and we're excited to be early adopters of parts of Google's Vertex AI products. Our Data Scientists work mainly with Python, SQL and BigQuery.
What excites you
- You're a self-starter - you can independently drive a team's work forward, finding and exploiting opportunities where data science can impact our business objectives.
- You love digging into data and uncovering actionable insights
- You're passionate about using data to help teams become more productive
- You have intellectual curiosity
- You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.
What excites us
- You'll have a degree (or PhD) in a numerate discipline or significant experience working in a commercial setting.
- You'll have commercial experience building robust ML models in a production environment.
- You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)
- You have solid experience of deep-dive analysis of complex data; managing data quality; feature selection; and prototyping, validation, and productionisation of Machine Learning models.
- You'll be able to point to a range of different techniques to solve a problem and demonstrate how you're able to apply maths to data and deliver tangible, quantifiable business results.
- You have good data visualisation skills
- You're comfortable with writing and maintaining code. Our preference is that your language of choice for data-wrangling is Python. However, R is also an option during prototyping phases
- You have a track record of deploying predictive models and data products in production with quantifiable impact.
We don't expect you to meet every requirement. If you're excited by this role, we encourage you to apply.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical cover
- Work away scheme - you can apply to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventure
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days ('GC Fridays')
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it's aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We're building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we're going to achieve this goal, we need to build a team of 'GeeCee's' that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We've got a long way to go, but here's how we're doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We're rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We're committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
