Senior Data Scientist – Applied Machine Learning

About the role

Lendi Group is building data and AI capabilities to help customers make better decisions across home lending and property services. As a Senior Data Scientist you will turn complex customer and business problems into production‑ready machine‑learning solutions.

Key responsibilities

• Translate business problems into clear analytical and ML objectives and work with large event datasets and feature stores.
• Develop, evaluate and improve models for propensity, personalisation, growth and retention using classification, regression, experimentation and forecasting.
• Take models through the full product lifecycle: deployment, automation, monitoring, drift detection, retraining and maintenance.
• Collaborate with data engineers, product managers, analysts, software engineers and senior business stakeholders to deliver measurable outcomes.
• Help improve data quality, feature pipelines, ML‑Ops practices and contribute to technical documentation and design discussions.

Required profile

• Commercial experience as a Data Scientist, Applied Scientist, Machine Learning Engineer or similar role.
• Strong Python programming skills with production‑quality code.
• Solid foundations in probability, statistics, model evaluation and machine‑learning fundamentals.
• Experience developing, deploying and maintaining ML models in cloud platforms such as Databricks, AWS SageMaker or Azure ML.
• Ability to work effectively with product managers, engineers, analysts and senior business stakeholders.

Required skills

• Python
• Classification, regression, feature engineering, experimentation
• Databricks, AWS SageMaker, Azure ML (or equivalent cloud ML platform)
• Data pipelines, feature stores, model monitoring, drift detection, ML‑Ops
• MLflow, Git‑based CI/CD, dbt
• R, Scala
• Streamlit, Power BI, Tableau

What we offer

• Vibrant, relaxed yet professional culture with hybrid working arrangement.
• Holistic wellbeing programs covering medical, mental health and financial support.
• Generous paid parental leave (18‑26 weeks primary, up to 4 weeks secondary).
• Loyalty leave after 3 years of service.
• Commitment to diversity, inclusion and psychological safety.