Lead Data Scientist

We’re seeking a passionate Data Scientist to lead the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and play a leading role in the ongoing development of the data science discipline, driving innovation, best practice adoption and motivating and empowering domain practitioners to create a positive and creative culture for our people to perform well, learn and grow.

Requirements

• Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure).
• Hands-on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information).
• Strong knowledge of a programming language for data science (Python, R, etc.) Including best practices using this language to write robust software.
• An Awareness of data governance and best practices to ensure data protection.
• Experience planning data science activities, including how teams and work should be structured. Being able to provide robust estimates of activities.
• Experience having a leading role in developing data science applications. Having operationalised and deployed various data science applications into a live environment.
• Experience structuring the work of data science teams based of requirements at the time, working to deadlines and practitioner’s strengths and providing support to less experienced colleagues.
• Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, GDS Service Manual, etc.).
• A bachelor’s degree in a STEM field.

Benefits

• InformedACADEMY
• Industry leading health and wellbeing plan
• Hybrid working
• Private Health Care Cover
• Generous life assurance cover
• Gym Membership
• Monthly office lunch
• Onsite massage sessions
• 25 paid working days holiday per year plus bank holidays
• Sabbatical Leave Scheme
• Enhanced Maternity Leave and Pay
• Enhanced Paternity Leave and Pay
• Company Pension Contribution
• Profit Share Scheme
• Payment of professional subscriptions
• Generous referral scheme with no limits on the number of referrals
• Salary Sacrifice scheme