The Role:

As a Data Scientist, you will focus on developing and refining machine learning models including in the following areas:

• Regression models: Optimizing baseline performance indicators for effective values, building and optimizing appropriate cohort groups.

• Recommendation engines: Ensuring the most appropriate alerts are continuously being surfaced that will generate most value

• Retrieval Augmented Generation: Using some of our captured data to surface themes through latest LLM technologies

About Quorso:

Quorso is one of Retail’s most exciting tech startups.

Anyone who’s worked in Retail knows how overwhelming a District and Store Manager’s job is. Countless activities, countless reports, countless problems to deal with.

Quorso turns them from data overloaded to datapowered. A Copilot for field leaders to know what to focus on, how to fix it and whether it's improving.

We're already helping over 37k stores improve productivity daily across $180bn+ of P&L. Some of the biggest retailers on the planet are already using Quorso to help their field leaders succeed.

Key Responsibilities:

• Develop, test, and help to incorporate machine learning models designed to enhance baseline performance indicators, ensuring our algorithms operate at peak efficiency.

• Conduct rigorous testing and validation of models, using a data-driven approach to optimize performance and achieve desired outcomes.

• Collaborate with cross-functional teams, including engineering, product, customer and leadership, to define key performance metrics and implement solutions that drive continuous improvement.

• Document and present model development processes, outcomes, and insights to both technical and non-technical stakeholders, ensuring transparency and alignment across the organization.
  

• Stay updated with the latest developments in machine learning and AI technologies, evaluating their potential impact on our business and integrating relevant advancements into our operations.

Requirements:

• Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.

• Proven recent experience of at least 3 years in developing and implementing machine learning models, with a specific focus on optimization problems.

• Strong proficiency in programming languages such as Python or R and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

• Familiarity with big data platforms, relational databases, working with structured data files, common engineering practices (testing, version control etc)

• Experience with NLP and understanding of advanced models like LLMs, including techniques like RAG.

• Excellent analytical, problem-solving, and communication skills.
  

• Demonstrated ability to work collaboratively in a cross-functional team environment.

• Ability to stay up-to-date with the latest AI and machine learning technologies and trends.

Department

Engineering

Locations

UK

Remote status

Hybrid Remote

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