Job Description
A growing business in the retail/e-commerce space is looking for a Data Scientist to spearhead the use of Data Science techniques across the business, helping to drive improved business outcomes. This role is home-based, with travel to their office near Newcastle upon Tyne once per month to socialize with your team (expenses-paid).
This is a new role, where you will be the company's sole Data Scientist as part of a small and growing data team, reporting directly into the Head of Data and AI.
The core of the role will be developing and deploying Machine Learning models, which will be integrated into various platforms including their website, to allow for better customer personalization and product recommendations.
You will also implement ML Ops, leverage AI tools such as Copilot to improve efficiency, and work closely with the Data Engineers to ensure the successful integration and scaling of your solutions within their data infrastructure.
They work on an AWS tech stack, but are open to seeing candidates from Azure backgrounds too, as long as you have experience leveraging Databricks as this is a core part of their tech stack.
This is a brilliant opportunity for a Data Scientist to make a tangible impact on a business that is investing in its data capabilities!
Requirements
* Experience developing and deploying machine learning models
* Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
* Hands-on experience with Databricks (either on AWS or Azure)
* Understanding of ML Ops principles is beneficial
* Confident working independently with a can-do attitude
Benefits
* Salary up to £60,000 depending on experience
* 22 days annual leave plus bank holidays (rising to 25 days over time)
* Enhanced Maternity and Paternity leave policy
Please Note: This is a permanent role for UK only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
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