Data Scientist

Key responsibilities

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  Work with business and product teams to turn problems into well-defined ML tasks with clear success metrics.

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  Collect, clean, label and engineer features from structured and unstructured data (text, images, logs, tabular).

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  Write and train machine learning and deep learning models from scratch, and fine-tune pre-trained models (including LLMs and transformer models) for specific use cases.

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  Design experiments, tune hyperparameters, and track runs to compare model versions reproducibly.

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  Evaluate models with the right metrics (e.g., precision/recall, F1, AUC, RMSE, BLEU/ROUGE) and test for bias, drift and robustness.

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  Optimise models for inference speed, cost and memory (quantisation, distillation, batching).

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  Package and deploy models with ML engineers via APIs, batch pipelines or cloud services, and monitor them in production.

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  Build and maintain training and data pipelines that are versioned, tested and documented.

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  Explain results to non-technical stakeholders through clear reports and dashboards.

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  Mentor junior team members and contribute to code reviews and best practices.

Required qualifications and skills

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  Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics or a related field.

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  About 4 years of hands-on experience building and training ML/AI models, with at least 2 models taken to production.

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  Strong Python, plus pandas, NumPy and scikit-learn.

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  Deep learning experience with PyTorch or TensorFlow/Keras, including writing custom training loops and model architectures.

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  Working knowledge of NLP or computer vision; experience with transformers (e.g., Hugging Face) and fine-tuning LLMs.

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  Solid grounding in statistics, probability, linear algebra and optimisation.

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  SQL and experience working with large datasets.

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  Experience with experiment tracking and MLOps tools (e.g., MLflow, Weights & Biases, DVC) and Git.

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  Experience training on GPUs in at least one cloud (AWS SageMaker, Azure ML or GCP Vertex AI).

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  Clear written and verbal communication.

Preferred skills