Their people are truly at the heart of everything this company does. From their colleagues delivering ground-breaking solutions to the customers who use them: people have helped them grow for more than thirty years, and people are driving their future as a great SaaS company. They’re writing their next chapter. Be part of it!

Our client recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why they have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up their Flexible Human Work hybrid framework and they want to be transparent in what that looks like when you join their family. On one hand, their offices will continue to play an important role in their future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, they have learned to reimagine where and when they work and to unlock that flexibility and innovation for their colleagues offering them the opportunity to work flex across their home, company offices or customer sites.

Truly a company that focuses on their Diversity & Inclusion policy and wants to improve their female employee to male employee ratio #womenintech

The role…

• Design and implement services that use machine learning to augment and simplify our customers’ workflows

• Develop our internal toolset to support our machine learning systems and our own efficiency

• Monitor and optimize the quality and performance of our models, services, and tools

• Experimenting, training, tuning, and shipping models

• Working with product managers and data scientists to translate product/business problems into tractable machine learning problems

You will have…

• Bachelor’s degree, preferably in a field that strongly uses data science / machine learning techniques (e.g. statistics, applied math, computer science, or a science field with direct statistics applications)

• Keen interest in machine learning and 2+ years of practical experience with it

• Strong quantitative and analytical skills and experience with data science tools, including familiarity and experience with the scientific Python toolset: numpy, scipy, sklearn, etc.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modelling.

• Ability to write highly performant code taking care of large volumes of data

• Excellent written and verbal communication skills, and ability to evaluate and explain technical details clearly

Benefits…

• 15% bonus (50% personal performance, 50% business performance)
• 25 days holiday + 8 bank holidays + 5 learning days + 5 charity days
• Up to 18% total pension with top ups
• 50% income protection for 2+ years
• Flexible working, hybrid or fully remote
• Paternity and maternity leave
• Medical insurance salary sacrifice, cycle to work, mental health memberships, gym classes + more