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 upgrade the world to a better financial system, we will need to understand how customers are using our product and what drives customers to engage in our platforms. You’ll be focussed on this critical step of creating better information from multiple data sources to guide our decision making and help us build better products and improve our processes.

Your mission will be:

• Use data to learn about our customers and how they are using our exchange and instant buy/sell features 
• Collaborate with product managers, treasury, and engineers to optimise product and operational performance
• Building reports and dashboards for business stakeholders
• Design metrics to accurately assess product performance and business health
• Formulating business requirements into analytical objectives
• Hacking through complex business problems using statistics and advanced analytics to provide insights towards making better decisions and building better products 
• Implementing systems and processes to help scale our using our ML Ops infrastructure

A little about you: 

• You are passionate about data science and related disciplines
• You can leverage data analytics to innovate and create out-of-the-box solutions  
• You can gather and synthesise facts, theories, trends, patterns, inferences, and key issues in complex and variable situations
• You are intellectually curious and have the persistence to find answers to difficult questions 
• You can diagnose problems using formal problem-solving tools and techniques
• You have strong interpersonal and communication skills
• You communicate technical concepts to non-experts in simple and helpful terms
• You are a team player, enthusiastic about growing and developing others
• You can handle uncertain and ambiguous scenarios
• You keep abreast of developments and emerging trends in Data Science, and influence what is next for Luno 

The ideal Lunaut will have:

• Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics
• Exploratory data analysis, predictive analytics, and/or optimisation skills using Python or other data science-oriented platforms
• Advanced SQL skills
• Strong interpersonal and communication skills
• Ability to explain data and statistical concepts to non-experts in a clear, and structured manner
• Ability to work independently, as well as within and across teams
• Ability to successfully complete projects with large and/or incomplete data sets
• Enthusiasm to work in the crypto industry

What will really get you noticed:

• At least 5 years' experience working in a similar role
• Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker
• Solid knowledge of statistical and machine learning techniques
• Familiarity with modern distributed data storage and processing systems such as Amazon Redshift, Hadoop MapReduce and Apache Spark
• A sense of anticipating long-term problem areas and associated risk levels with objective rationale
• Experience with productionisng ML applications using a formalised ML Operations architecture
• Experience or interest working in crypto or fintech industries

Life at Luno:

• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Enjoy an Annual Inspiration Day in addition to your annual leave, which increases with your length of service, plus the option to buy or sell up to five days of leave.
• Improve body and mind, with excellent private medical insurance
• Access to Learnably and our additional learning platforms for your personal and professional development
• A collaborative, friendly work community, with regular social events and classes hosted by our Lunauts
• 6 months primary care-giver leave
• Paw-ternity leave for your furry friend
• Free lunch and snacks
• 0 fees up to a certain amount 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 discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.#LI-DNI