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Fantastic opportunity to join a leading facilities management company
Work on AI solutions across a range of interesting areas
Hybrid working and strong benefits package
I’m seeking a highly skilled Data Scientist to join an innovative organization dedicated to pushing the boundaries of technology in the facilities management industry.
What you'll be doing
The role would see you joining and starting a new data science function within a FTSE 250 market leading business. Working closely with the company’s Lead Data Scientist you’ll play a key role in building out the company’s machine learning capabilities.
You will have a hands-on role working on the development of proof of concepts, MVPs, and prototypes across areas such as deep learning, natural language processing, text analytics, speech recognition, and image/video analysis.
What you'll need to apply
A MSc or PhD in a STEM subject, Computer Science or Engineering
A minimum of 3 year’s commercial Data Science experience.
Highly capability in SQL
Strong programming skills in Python and Deep Learning frameworks such as PyTorch or TensorFlow
Strong understanding in machine learning algorithms, model development, common frameworks, workflow tools, and/ or applied AI.
Knowledge across at least two of the following areas: Deep learning platforms, Natural language processing and Text analytics, Speech recognition, Image/ Video analysis etc
Strong hands-on experience in Cloud platform technologies, mainly Microsoft Azure
Experience working on commercial IoT projects as an advantage.
Experience collaborating with front-end development teams as advantage
Experience with IBM Watson, and MS Luis is desirable
What you'll get for your experience
A base salary of up to £60,000 plus a strong benefits package.
The role can be worked any of the company’s offices, based either in Bristol, Birmingham, Manchester, or London. The company has a hybrid working policy.
This role requires you are SC Cleared or eligible for SC Clearance (lived in the UK for over 5 years). The company is unable to offer sponsorship for the role.
Please apply with an up-to-date CV today, don't hesitate to call/email to discuss the finer details