The Role
Designs, develops, and optimizes machine learning, AI, and decisioning solutions for banking and digital channels. Builds customer, risk, fraud, propensity, retention, and decisioning models using Databricks, Python, SQL, and MLflow. Develops reusable features, applies generative AI and LLMs, validates models, translates data into business value, collaborates with cross-functional teams, and mentors junior data scientists.
Summary Generated by Built In
Job Purpose
To design, develop and optimise machine learning, AI and decisioning solutions that drive customer, risk and operational outcomes across Personal and Private Banking (PPB) and Digital channels.
Purpose
Apply advanced analytics, machine learning and AI techniques to solve business problems, improve customer experiences and support intelligent decisioning. The role focuses on feature engineering, model development, experimentation and decision science while leveraging the Databricks platform to deliver scalable and reusable analytical assets.
Requirements
What You’ll Do
- 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
What You Bring
- 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.
Your Tech Toolkit
You'll ideally bring strong hands-on experience with:
- 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
Skills Required
- Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, Econometrics, or a related field
- Hands-on experience with Databricks, Python, SQL, and machine learning
- Experience taking data science solutions from concept to production
- Strong statistical modeling, feature engineering, and model validation skills
- Commercial mindset with strong stakeholder and communication skills
- Master's or PhD degree
- Relevant Databricks, Azure, AWS, GCP, or SAS certifications
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The Company
What We Do
Sabenza IT is a niche recruitment company specializing in Information Technology, SAP, Finance, and Engineering roles, with over 23 years of experience.
