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Principal Consultant - Data, AI and ML Engineering
Data Scientist
London (4 days a week in office)
La Fosse is proud to be partnering exclusively with a fast-scaling, product-first technology company based in London. The business is expanding its AI capabilities and is looking for a skilled Data Scientist to join its growing team.
This is a high-impact role where youll work on a variety of real-world data science problems and play a key role in shaping how AI is embedded across the company’s core products.
What You’ll Be Doing
* Develop and deploy production-grade machine learning models to solve business-critical challenges
* Contribute to projects across demand prediction, optimisation, and computer vision
* Collaborate with engineers, product managers, and designers to integrate ML solutions into the product
* Take ownership of your workstreams while receiving mentorship from experienced data scientists
* Help support and shape infrastructure for scalable ML deployment, working alongside backend engineers (Python/Django/Go)
What We’re Looking For
* 2–4 years of hands-on experience in Data Science or Machine Learning roles
* A degree (Master’s or strong Bachelor’s) in a relevant field such as Computer Science, Mathematics, Physics, or Engineering
* Experience building and deploying ML models into production (e.g., in forecasting, optimisation, or computer vision)
* Proficiency in Python and familiarity with key ML libraries like Scikit-learn, TensorFlow, or PyTorch
* Solid foundation in statistical modelling and machine learning techniques
* Exposure to cloud technologies such as AWS, especially services like SageMaker or Lambda, is a bonus
* Comfortable collaborating with software teams to support integration and performance of ML models
Why Join?
If youre looking to grow your impact as a Data Scientist, work on meaningful, production-facing problems, and be part of a fast-moving, intellectually curious team, this is an excellent opportunity to accelerate your career in a product-led, AI-focused environment.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology, Engineering, and Health Care Provider
* Industries
Data Infrastructure and Analytics, Hospitals and Health Care, and Technology, Information and Media
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