Data Scientist at Luno

About us: 

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. We don’t do memecoins.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

About the team: 

The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy.

As a Data Scientist joining Luno, you would be part of the Data Science team providing high quality insights and data tools to teams across the company.

Our current technology stack includes Databricks and Looker.

The role in a nutshell:

As we accelerate on our mission to put crypto in everyone’s hands, your role is to use data and insights to drive better business decisions and assist in creating innovative data science products that will create and sustain business value . This will involve collaborating with cross-functional teams to find, size, prioritise, evaluate and iterate on problems and opportunities. It will also involve creating data science products using sophisticated techniques that will be operationalised to fit into existing business workflows. 

Your mission will be:

• Partner with cross-functional product and operations teams including Product Managers, Operations Leads and Engineers to provide analytics for data-informed decisions.
• Work with Senior Data Scientists to empower teams with innovative data science tools
• Understand business team’s pain points and create meaningful solutions to equip teams with actionable insights

A little about you:

• You are passionate about data analytics and related disciplines.
• You can leverage data analytics to innovate and create out-of-the-box solutions.  
• You have a data product mindset. You think of your work in the context of the bigger picture to holistically solve business problems
• You are delivery focused and favour working in iterative developments
• You like to show your work early and often, gathering regular feedback from colleagues and stakeholders
• You value collaboration and feedback and similarly provide regular feedback and peer reviews to your colleagues
• You are intellectually curious and have the persistence to find answers to difficult questions. 
• You have strong interpersonal and communication skills.
• You communicate technical concepts to non-experts in simple and helpful terms.
• You can handle uncertain and ambiguous scenarios.
• You keep abreast of developments and emerging trends in data.
• You are enthusiastic to learn and grow your career in Data Science

The ideal Lunaut will have:

• 3+ years of experience in the data field.
• Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Information Technology, Engineering or Economics.
• Demonstrable experience using data science to solve impactful business problems
• Proficient SQL skills and experience with relational databases.
• Experience with data visualisation tools such as Looker, Tableau or similar.
• Proficiency in statistical programming languages. Python and Pyspark would be advantageous.
• Ability to work independently, as well as within and across multi-disciplinary teams.
• Adaptable and capable of working in fast-paced environments.
• Great analytical, critical thinking and problem-solving abilities.
• Strong interpersonal and communication skills.
• Enthusiasm to work in the crypto industry.

What will really get you noticed:

• At least 3 years of experience working in a similar role.
• A track record of using Pyspark libraries to solve data problems
• Experience working with ML frameworks such as ML Flow, Scikit Learn, Tensorflow etc
• Experience working with Databricks
• Experience working in the Fintech or crypto industry

Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

Life at Luno:

• Forward-thinking and ambitious team that values diversity, hard work, and the continuous quest for excellence.
• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Improve body and mind, with excellent private medical insurance.
• Access to Learnably and our additional learning platforms for your personal and professional development.
• Generous maternity / paternity and even paw-ternity for your furry friend.
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! Plus the option to buy and sell leave. 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts.
• Free lunch and snacks.
• 0 fees with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not negatively discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.