Lead Data Scientist
Lead Data Scientist
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Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling.
The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models leveraging statistical techniques machine learning and deep learning to extract actionable insights. This role requires strong expertise in Pythonbased AI/ML development big data processing and cloudbased AI platforms (Databricks Azure ML AWS SageMaker GCP Vertex AI).
Key Responsibilities
- Data Exploration & Feature Engineering
- Perform thorough Exploratory Data Analysis (EDA) and identify key variables patterns and anomalies.
- Engineer and select features for optimal model performance leveraging domain understanding.
- Machine Learning & Statistical Modelling
- Implement both classical ML methods (regression clustering timeseries forecasting) and advanced algorithms (XGBoost LightGBM).
- Address computer vision NLP and generative tasks using PyTorch TensorFlow or Transformerbased models.
- Model Deployment & MLOps
- Integrate CI/CD pipelines for ML models using platforms like MLflow Kubeflow or SageMaker Pipelines.
- Monitor model performance over time and manage retraining to mitigate drift.
- Business Insights & Decision Support
- Communicate analytical findings to key stakeholders in clear actionable terms.
- Provide datadriven guidance to inform product strategies and business initiatives.
- Ethical AI & Governance
- Ensure compliance with regulations (GDPR) and implement bias mitigation.
- Employ model explainability methods (SHAP LIME) and adopt best practices for responsible AI.
Qualifications :
Key Skills & Competencies
- Technical Skills
- Programming: Python (NumPy Pandas) R SQL.
- ML/DL Frameworks: Scikitlearn PyTorch TensorFlow Hugging Face Transformers.
- Big Data & Cloud: Databricks Azure ML AWS SageMaker GCP Vertex AI.
- Automation: MLflow Kubeflow Weights & Biases for experiment tracking and deployment.
- Architectural Competencies
- Awareness of data pipelines infrastructure scaling and cloudnative AI architectures.
- Alignment of ML solutions with overall data governance and security frameworks.
- Soft Skills
- Critical Thinking: Identifies business value in AI/ML opportunities.
- Communication: Distils complex AI concepts into stakeholderfriendly insights.
Leadership: Mentors junior team members and drives innovation in AI.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
- WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
