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Omnis Partners are supporting a leading global technology consultancy that has been driving digital transformation and meaningful change for over two decades. Their mission is to combine technology, AI, and human insight to build intelligent digital platforms that create real-world impact.
Join a forward-thinking organisation where innovation meets purpose, working with world-class data scientists, engineers, and strategists to shape the future of data-driven transformation and AI-powered decision-making.
We are seeking a Senior Data Scientist to design, develop, and deploy advanced AI and machine learning solutions that deliver measurable business value.
This is a hands-on technical leadership opportunity for a data scientist who thrives on solving complex problems, driving innovation, and translating data into strategic insights that influence global business outcomes.
Data Exploration & Feature Engineering: Conduct exploratory data analysis (EDA), identify patterns, and build high-value features from large datasets.
Machine Learning & Statistical Modelling: Develop predictive models using classical ML (regression, clustering, forecasting) and modern algorithms such as XGBoost and LightGBM.
AI & Deep Learning Applications: Design AI solutions across computer vision, NLP, and generative AI, leveraging frameworks like PyTorch, TensorFlow, and Hugging Face.
MLOps & Deployment: Implement CI/CD pipelines using MLflow, Kubeflow, or AWS SageMaker Pipelines; deploy scalable models and monitor production performance.
Business Insights & Strategy: Communicate complex findings clearly to stakeholders, driving data-informed strategy and measurable business impact.
Ethical AI & Governance: Ensure all AI solutions adhere to ethical AI practices, including fairness, explainability (using SHAP, LIME), and GDPR compliance.
Strong expertise in Python (NumPy, Pandas), with working knowledge of R and SQL.
Experience with machine learning and deep learning frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face.
Cloud & Big Data platforms: Databricks, Azure ML, AWS SageMaker, or GCP Vertex AI.
Hands-on experience with MLOps tools (MLflow, Kubeflow, Weights & Biases).
Understanding of data pipeline architecture, scalability, and cloud-native AI environments.
Excellent communication and mentoring skills, with a strategic and innovative mindset.
Our client offers a truly global platform for personal and professional growth, including:
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