Data Science Manager - Defence (UK - All Locations)

When you join Kainos, you get to think beyond limitations to make an immediate and positive impact – like transforming digital services for millions of citizens or helping Fortune 500 companies get live and thrive on Workday.You’ll be part of a people-first culture that is growing around the world. We’re a creative, committed, and diverse group of individuals who succeed as a team.At Kainos your ideas are heard and valued and you’ll leave a legacy that you can feel proud of. Join us and discover how our people write our story.

MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS (Data Scientist):
As a Data Scientist Manager in Kainos in the Defence sector, you’ll be responsible for successful delivery of large-scale high-quality solutions that use AI and ML technologies that delight our customers and impact the lives of users worldwide.
You will provide leadership and support to data science teams by understanding the outcomes the solution is trying to achieve, the data implications and complexity surrounding you and your teams' designs and helping teams make the right decisions.
You’ll work with senior stakeholders to agree data architectural principles, strategic direction and functional and non-functional designs.
As a technical leader, you will work with your colleagues to inform development of policy and standards, develop customer relationships, account management and share knowledge and mentor those around you. You’ll do this whilst advising about new technologies and approaches to data, with room to learn, develop and grow.

MINIMUM (ESSENTIAL) REQUIREMENTS (Data Scientist):
• Proven experience of being responsible for different sizes and shapes of production data delivery challenges, e.g. AI/ML service, multi-team programme, data platform, complex data migration.
• Able to simplify and clearly communicate machine learning model design in conversation, documentation and presentations to non-data scientists.
• Able to lead the development of machine learning models, data storage and data processing to support AI/ML solutions.
• Proven experience in cleansing, filtering and re-factoring complex data from different sources (including non-traditional data sources).
• Able to prioritise their time across activities particularly when working to deadlines.
• Input into the development of new AI Practice offerings.
• Understands whole solution architecture concepts and can communicate and negotiate these with senior stakeholders.
• Can prioritise non-functional concerns for customers and has experience incorporating these into the application design.
• Has a mathematics / data science background, allowing effective communication with and leadership of data scientists.
• Experience of improvement of process, people and use of technology.
• Has significant hands on experience with public cloud platforms, such as AWS and Azure, including SaaS and PaaS offerings.
• Experience mentoring and coaching members of your team and wider community.
• Can communicate effectively with C-level stakeholders.
• Understands commercial implications of design decisions
• We are passionate about developing people – a demonstrated ability in managing, coaching and developing junior members of your team and wider community.

DESIRABLE (Data Scientist):
• Actively shares their thoughts and views on technology.
• Has participated in technology communities.
• Experience of Deep Learning Architectures (e.g. MLP, RNN, CNN)