The Role
Design, build, validate, optimize, and monitor production machine learning and AI models using Databricks, MLflow, Python, and SQL. Develop customer, risk, fraud, retention, engagement, and decisioning models; perform advanced feature engineering and statistical experimentation; explore generative AI use cases; collaborate with product, risk, digital, business, and ML engineering teams; mentor junior data scientists and promote modeling best practices.
Summary Generated by Built In
Are you a Senior Data Scientist who enjoys turning complex data into intelligent, high-impact business decisions?
Join a high-performing analytics environment where you’ll design, develop and optimise Machine Learning, AI and decisioning solutions that directly influence customer experience, risk management and digital outcomes.
- Design, build, train and optimise production-ready ML models using Databricks, MLflow, Python and SQL.
- Develop customer propensity, Next Best Action/Product, retention, engagement and customer value models.
- Build risk, fraud, collections and operational models that improve decision-making.
- Lead advanced feature engineering and develop reusable enterprise features using Databricks Feature Engineering, Delta Tables and Feature Store.
- Perform statistical analysis, experimentation, hypothesis testing, model validation and optimisation.
- Monitor model performance, drift, stability and business impact, continuously improving models.
- Explore and deliver Generative AI / LLM use cases where they can create meaningful business value.
- Partner with Product, Digital, Risk and business stakeholders to translate business challenges into scalable analytical solutions.
- Work closely with ML Engineers to productionise models and analytical assets.
- Mentor junior Data Scientists and contribute to modelling standards and best practices.
RequirementsKey Technologies & Expertise
Must Have:
- Strong Databricks experience – Notebooks, Workflows & MLflow
- Databricks Feature Engineering / Feature Store
- Advanced Python & SQL
- Machine Learning & Statistical Modelling
- Feature Engineering & Feature Selection
- Predictive & Prescriptive Analytics
- Model Validation, Tuning & Monitoring
- Experience with large-scale customer, behavioural, transactional or digital data
Advantageous:
- Customer Decisioning & Optimisation
- Risk / Fraud / Collections Modelling
- Generative AI, LLMs & Prompt Engineering
- Experience taking Data Science solutions from concept through to production
Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, Econometrics or another quantitative discipline.
- Databricks Machine Learning / Data Engineer
- Microsoft Azure AI
- SAS Data Scientist
- AWS / Google Cloud AI & ML
- Recognised AI / ML / Data Science certifications
If you're passionate about Machine Learning, AI and building data-driven solutions at scale, this is an opportunity to make a real impact.
Skills Required
- Strong Databricks experience, including Notebooks, Workflows, and MLflow
- Experience with Databricks Feature Engineering and Feature Store
- Advanced Python and SQL skills
- Machine learning and statistical modeling experience
- Feature engineering and feature selection experience
- Predictive and prescriptive analytics experience
- Model validation, tuning, and monitoring experience
- Experience with large-scale customer, behavioral, transactional, or digital data
- Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, Econometrics, or another quantitative discipline
- Customer decisioning and optimization experience
- Risk, fraud, or collections modeling experience
- Generative AI, LLM, and prompt engineering experience
- Experience taking data science solutions from concept through production
- Databricks Machine Learning or Data Engineer certification
- Microsoft Azure AI certification
- SAS Data Scientist certification
- AWS or Google Cloud AI and ML certification
- Recognized AI, ML, or Data Science certification
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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.
