Senior Data Scientist

Requirements

• Build and optimise ML models using Databricks, MLflow, Python & SQL
  
• Develop customer, propensity, retention, risk, fraud and decisioning models
  
• Build reusable features using Databricks Feature Store
  
• Apply Generative AI & LLMs to innovative business use cases
  
• Turn complex data into actionable insights and measurable business value
  
• Partner with business, product, risk and technology teams
  
• Mentor and inspire junior Data Scientists
  

• Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, Econometrics or a related field
  
• Strong hands-on Databricks + Python + SQL + Machine Learning experience
  
• Experience taking data science solutions from concept to production
  
• Strong statistical modelling, feature engineering and model validation skills
  
• Commercial mindset with excellent stakeholder and communication skills
  
• Master’s/PhD and relevant Databricks, Azure, AWS, GCP or SAS certifications are a plus.
  

• Databricks — Notebooks, Workflows, MLflow and distributed compute
  
• Databricks Feature Engineering & Feature Store
  
• Python & SQL
  
• Machine Learning & Statistical Modelling
  
• Predictive & Prescriptive Analytics
  
• Decision Science & Optimisation
  
• Feature Engineering & Feature Selection
  
• Experimentation & Model Validation
  
• Generative AI, LLMs & Prompt Engineering
  
• Data Visualisation & Storytelling