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Harnham
,
London, Greater London
Data Scientist
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Job Type: Full-time |
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Salary: £75,000 per annum |
Overview
Data Scientist £75,000 - £90,000 Benefits London (Zone 1) Currently remote working / flexible working is offered with the view to being full-time from the office with working from home options / flexible working THE COMPANY The Harnham Data Science team are working with an app company who are looking to become the world's premier AI financial advisor for your money management. They have already seen tremendous success and after successive funding rounds are continuing to grow their AI capability. You will join a growing team focused on building machine learning products for a scaling company, looking to reach 100mn global customers in the near future. YOUR ROLE To work as part of a team of 5-6 data scientists (and wider team of engineers, devops and machine learning specialists) to build machine learning-led products. Working on text based and natural language based problems (NLP) for the company's chatbot. Using data science to help the company scale and bring on-board millions of new customers. Identifying new ways of using the company's rich data to help create a market-leading product. YOUR SKILLS Experience in building data science and machine learning-led products in a commercial environment A range of experience in different machine learning models Experience in programming in Python Any experience in cloud-based technology (GCP or AWS) is a bonus Experience in text-based problems and NLP is beneficial, but not essential. Experience in deep learning is beneficial but, not essential. SALARY? In this role you could earn up to £90,000 a range of great benefits, including flexible working/working from home, a great office culture, potential shares. HOW TO APPLY? Hit the "apply" button on this page and send through your CV, or message me to book in a chat to find out more PROCESS? 1. Take home exercise 2. Chat with the team 3. Meet the team (VC) KEYWORDS Data Scientist, Data Science, Machine Learning, Python, AWS, Cloud, GCP, Product, APP, AI, Artificial Intelligence, Tech, NLP, Natural Lanaguage Processing, Text Analysis, Analytics, Data, Deep Learning.