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, develop, deliver, and maintain high quality data science and machine learning solutions

• Define and develop metrics and KPIs to identify and track success

• Engage directly with product managers through ideation and experimentation of data science work to showcase what’s possible and what could be delivered to drive intelligent product features

• Collaborate with architects and engineers to deliver ML solution and ship code to production

• Take an active role within the team to contribute to its objectives and key results (OKRs) and to the wider AI strategy

• Presenting findings, results, and performance metrics to the team and stakeholders

• Mentor team members

You will have…

• Proven and deep understanding of statistical and machine learning and deep learning techniques

• Excellent analytical, quantitative, problem-solving and critical thinking skills

• Experience designing, developing and scaling machine learning models in production

• Experience collaborating with the different engineering functions

• Ability to assess and translate a loosely defined business problem and advise on the best approaches to deliver quality Machine Learning solutions

• Strong technical leadership with the ability to see project initiatives through to completion

• Excellent interpersonal skills and the ability to maintain effective working relationships

Technical/professional qualifications

• 5+ years of experience in designing and developing ML solutions including problem formulation, data exploration and processing, feature engineering and model development and implementation

• Proficiency with Python, R, Pandas and ML frameworks such as scikit-learn, PyTorch, TensorFlow etc

• Experience with NLP and applying ML in the Accounting/Finance domain a plus

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