Data Scientists build models and analytical frameworks that extract predictive and prescriptive insights from data — translating statistical and machine learning methods into business value. We find the professionals your team needs through dedicated retained search — not job boards.
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Framing business problems as data science problems, building and validating predictive models, experimenting with machine learning approaches, communicating findings to non-technical stakeholders, collaborating with engineers to deploy models into production, and monitoring model performance over time.
Strong Python and/or R, solid statistical foundations, hands-on machine learning experience (scikit-learn, PyTorch, TensorFlow, or XGBoost), and demonstrated ability to connect model outputs to business decisions. For applied roles, production ML deployment experience is essential.
There is a significant difference between a data scientist who can build notebooks and one who can deploy models into production reliably. If production ML is part of the role, screen specifically for MLflow, feature stores, and monitoring frameworks.
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Retained recruitment delivers a pre-screened shortlist within 21–35 days. Start with a free, confidential 25-minute consultation.
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