Job Location : London, UK
I'm currently working with a leader within their field who are genuinely looking to make a difference within their industry. They have recently expanded and have an environment where hard work is rewarded i.e progression based on meritocracy. They have many cases where junior individuals have been promoted to a senior manager position and beyond within years of starting their journey with this client.
Originally founded in the early 2000's, they've proven to be ahead of their competition but also boast about being able to offer stability as an organisation. They work with professionals to provide them with opportunities to really develop and up skill themselves.
This role is for a Senior Data Scientist where you'll be using the latest tech within Azure which means that you'll be working alongside the data team and using tools such as (AI, LLM, NLP).
As part of this role, you can expect:
Salary which is paying up to £80,000, 30 days annual leave,Bonus of up to 12.5%Unparalleled pension scheme,As well as a range of other benefits.My client really understands the importance of work life balance as well as being able to provide employees with the opportunity for development. You can expect regular reviews as well as a sign posted career path to help you achieve your career aspirations.
Essential skills:
Proven history of working in a Senior Data Science capacity, Exposure to Data technologies such as Python, LLM, ML Techniques (Clustering, Regression), Understanding of normalisation, CI/CD, R. Exposure to Agile working methodologies. This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - or call for a catch up in complete confidence.
Frank Group's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.
Salary : 75000 - 80000
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