Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
About the role
- Data Scientist responsible for AI model development and deployment across client projects. Building reliable AI applications ensuring client success and operational excellence.
Responsibilities
- Own end-to-end model development across client engagements, from data exploration and feature engineering through to model deployment and ongoing optimisation
- Work on a variety of high-stakes AI applications, often simultaneously, in environments where rigour and speed both matter
- Communicate clearly with clients, walking them through methodology or explaining model outputs to non-technical stakeholders with equal confidence.
Requirements
- 3+ years of hands-on data science experience, with a strong portfolio of production ML models
- Deep proficiency in Python and the ML stack (scikit-learn, XGBoost, PyTorch, or TensorFlow)
- Experience in at least one of: credit risk / underwriting, fraud detection, NLP, recommendation systems, or computer vision
- Strong grasp of statistical fundamentals, you understand what your model is actually doing
- Experience deploying models in cloud environments (AWS, GCP, or Azure) and with MLOps practices
- Ability to work directly with clients and translate messy real-world data problems into clean modelling approaches
- Experience with LLMs, RAG pipelines, or generative AI applications is a strong advantage.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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