Data Scientist

The Company Our client is a multi-award winning global technology business specialising in transaction automation, AI-powered biometric solutions and cash handling equipment. This market leading business were established over 30 years ago and have been at the forefront of advanced cash transaction and biometric solutions for clients in amusement, retail, gambling and kiosk industries. About the Job In this role we are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning to join a dynamic team. In this role, you will be responsible for developing and implementing deep learning models to extract valuable insights from vast amounts of data. You will work closely with cross-functional teams to drive data-driven decision-making and create impactful solutions. Your Responsibilities as a Data Scientist: • Develop, implement, and optimize deep learning models for image classification problems • Collaborate with a co-located team of Software Engineers to ensure seamless integration of models into production environments. • Conduct exploratory data analysis, data preprocessing, feature engineering to uncover insights and guide model development. • Stay up-to-date with the latest advancements in deep learning and AI technologies and apply them to real-world problems. • Communicate complex technical concepts and results to non-technical stakeholders effectively. • Participate in code reviews, model evaluations, and continuous improvement processes to maintain high-quality deliverables. Candidate Requirements • Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is desirable. An excellent degree from a well-established University will be considered. • Understanding of the mathematics of CNNs and GANs essential, or other advanced deep learning techniques. • Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, Keras, or similar. • Strong proficiency in programming in Python. • Excellent problem-solving skills and the ability to work independently as well as in a team. • Strong communication skills with the ability to explain technical concepts to diverse audiences. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) preferable. Benefits and Perks • A competitive salary • Flexible working hours • 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year • Enhanced maternity/paternity/adoption leave & pay • Enhanced Pension Contribution • Healthcare Insurance (including dental) • Wellbeing support • Life Insurance • Income Protection Insurance • Educational Sponsorship • Electric Car Scheme • Free secure parking • Onsite electric car charging points • Staff car workshop • Free onsite modern gym • Cycle to Work Scheme • Informal dress code • Paid breaks, with free hot premium drinks