Senior Data Scientist

• •Design and build pricing models and evaluation frameworks to guide and optimise pricing strategies
• •Develop causal models using experiments and observational data to isolate and measure the impact of fee changes
• •Initiate, design, and maintain high-quality data pipelines and models with strong attention to detail
• •Synthesise findings into clear, actionable recommendations and communicate them effectively to senior leadership

• •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*

• •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
• •5 years + experience in pricing experimentation, data analysis and statistical modelling
• •Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders
• •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

• •5 years' + experience working in a similar role
• •Proven track record of analysing customer behaviour and translating insights into revenue growth
• •Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker
• •Solid knowledge of statistical and machine learning techniques
• •Experience with productionising ML applications using a formalised ML Operations architecture
• •Experience or interest working in crypto or fintech industries