Senior Data Scientist

Senior Consultant - Data Engineering & Infrastructure for AI

About the Company

Omnis Partners are supporting a leading global technology consultancy that has been driving meaningful change for over two decades. Their mission? To harness the power of technology and human insight to create intelligent digital platforms and transformative experiences that make a real impact. This is your chance to join a forward‑thinking organisation where innovation meets purpose — working alongside world‑class engineers and strategists to shape the future of data‑driven transformation.

Role Overview

We’re looking for a Senior Data Scientist (Lead level) to design, develop, and deploy advanced AI and machine learning solutions that deliver measurable business value. This is a hands‑on technical leadership role — ideal for someone who thrives on solving complex problems and turning data into strategic insights.

What You’ll Do

• Data Exploration & Feature Engineering: Conduct EDA, identify patterns and key variables, and create high‑value features.
• Machine Learning & Statistical Modelling: Build models using classical ML (regression, clustering, forecasting) and modern algorithms (XGBoost, LightGBM).
• AI & Deep Learning Applications: Develop solutions across computer vision, NLP, and generative AI using frameworks like PyTorch, TensorFlow, and Hugging Face.
• MLOps & Deployment: Implement CI/CD pipelines (MLflow, Kubeflow, SageMaker Pipelines) and monitor performance in production.
• Business Insights: Translate complex findings into actionable insights for stakeholders, influencing strategy and decision‑making.
• Ethical AI & Governance: Apply responsible AI practices, ensuring fairness, explainability (SHAP, LIME), and GDPR compliance.

What You’ll Bring

• Strong programming expertise in Python (NumPy, Pandas), with working knowledge of R and SQL.
• Cloud & Big Data experience: Databricks, Azure ML, AWS SageMaker, or GCP Vertex AI.
• MLOps tools: MLflow, Kubeflow, or Weights & Biases for tracking and automation.
• Understanding of architecture: Data pipelines, scaling, and cloud‑native AI environments.
• Soft skills: Strategic mindset, excellent communication, and a passion for mentoring and innovation.

Why Join?

Our client offers a global platform for personal and professional growth, including:

• Competitive package with bonus and recognition schemes
• Global career mobility and technical leadership development
• Access to learning platforms, certifications, and conferences
• Hybrid working and flexible hours
• Wellbeing programmes and community initiatives that celebrate diversity and inclusion

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