[Hiring] Lead Data Scientist @Recru-IT

Role Description

Data science is not a support function at the company — it is central to the product. The company privacy-preserving models, entity-resolution algorithms, data-linkage methods, analytics, and AI-augmented pipelines are core to the value the company delivers to clients.

The Lead Data Scientist serves as second-in-command to the Head of Data Science and combines senior technical leadership with hands-on delivery. The role requires someone who can lead complex analytical work, represent the Data Science function when required, and remain actively involved in designing, coding, validating, and delivering solutions.

You will also play a key role in the company transition from analytics built primarily through traditional SQL, Synapse Pipelines, and Power BI toward Python-powered Jupyter workflows that use Claude Code and other LLM tools to accelerate research, coding, documentation, prototyping, and production delivery.

The environment includes:

• PySpark
• Delta Lake
• Jupyter Notebooks
• Azure Synapse
• Trino
• Power BI
• Kubernetes-hosted model serving
• Fast API inference endpoints

Qualifications

• Senior-level data science expertise across machine learning, statistical modelling, and AI system design in production environments.
• Advanced Python skills and strong experience with Jupyter Notebooks, pandas, NumPy, and scikit-learn.
• Experience with Delta Lake or comparable Lakehouse architectures, including PySpark, feature stores, training-data versioning, and schema evolution.
• Strong data warehouse expertise, including Azure Synapse Analytics, Azure SQL, T-SQL, and/or ANSI SQL.
• Strong analytics and visualisation experience using Power BI and Python-based visualisation or interactive-analysis tools.
• Team-level technical or engineering leadership experience, including mentoring data scientists, owning delivery, and communicating with senior stakeholders.
• Excellent written and verbal English communication skills.

Requirements

• 7+ years of experience across data science, data analytics, or data warehousing, with substantial recent data science experience.
• 2+ years in a technical or engineering leadership role.
• Bachelor's degree in a STEM discipline or equivalent professional experience.

Benefits

• Flexible working arrangements: hybrid and remote options to suit your lifestyle.
• Comprehensive benefits: wellness program, home office reimbursements, and continuous learning opportunities.
• Team culture: fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
• Performance incentives: competitive salaries, ESOP, and recognition for your hard work.