Senior Data Scientist
Endava
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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
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 we are 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 perspectives because 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
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Compétences linguistiques
- English
Avis aux utilisateurs
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