Role Overview

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 Python-based AI/ML development big data processing and cloud-based 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 time-series forecasting) and advanced algorithms (XGBoost LightGBM).
• Address computer vision NLP and generative tasks using PyTorch TensorFlow or Transformer-based 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 data-driven 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 :

• Technical Skills

• Programming: Python (NumPy Pandas) R SQL.
• ML/DL Frameworks: Scikit-learn 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 cloud-native 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 stakeholder-friendly 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 value-based recognition awards referral bonus;  
• Career Development: Career coaching global career opportunities non-linear 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 pass-it-on sessions workshops conferences;
• Work-Life 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.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.

Remote Work :

No

Employment Type :

Full-time

Key Skills
Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry
Experience: years
Vacancy: 1