Data Scientist (Advanced ML experience)

Job Description

Data Scientist (Advanced Machine Learning Applications)

Algo1: London Area, United Kingdom

Hybrid: Minimum 3 days per week in Central London office

About the Role:

We are a VC-backed startup focused on behavioural AI, currently in stealth mode. We are developing innovative solutions for retail, leveraging reinforcement learning, generative AI, and advanced machine learning. We are seeking a Data Scientist with recent, hands-on experience in developing and deploying advanced machine learning models for complex datasets to work with our team of industry-leading domain experts and engineers.

Key Responsibilities:

• Algorithm Development & Implementation: Design and implement scalable machine learning and deep learning algorithms for complex data analysis and predictive modeling.
• Solution Development: Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems.
• Performance Optimisation: Optimise machine learning models for peak performance in modern environments.

Essential Qualifications:

• Education: Master's degree (MSc) in Computer Science, Machine Learning, or a related field.
• Practical Experience: Proven experience implementing advanced machine learning solutions in a commercial setting.
• Machine Learning Expertise: Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting.
• Programming Skills: Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code.

Desired Skills (Bonus Points):

• Deep Learning Frameworks: Advanced expertise with PyTorch and Hugging Face Transformers.
• Retail Analytics: Strong practical understanding of retail analytics including consumer segmentations, personalisation systems, campaign effectiveness and media measurement.

What We Offer:

• The opportunity to be a founding member of a groundbreaking startup.
• A dynamic and collaborative work environment.
• A chance to work with cutting-edge technologies and solve challenging problems.
• Competitive compensation.
• Equity in a rapidly growing company.

If you're an energetic data scientist who thrives in a fast-paced environment and wants to make a real impact on the future of retail, we encourage you to apply.