Data Scientist

at  Shawbrook Bank

EDUCATION / EXPERIENCE

• A forward-thinking IT or risk professional from any industry. Strong & proven quantitative analytical skills within analytics functions within financial services would be advantageous.
• Proven experience in data analytics, with a portfolio demonstrating innovative use of Machine Learning, AI, and automation in business contexts.
• Strong analytical skills with the ability to dissect complex data and distil it into simple, actionable insights.
• Ability to present findings & analysis in a structured and well-thought-through way, particularly when addressing a non-expert audience.
• You have team working capabilities and an ability to build strong individual, team and stakeholder relationships.
• You have a creative and innovative mindset, open to exploring novel approaches to problem-solving through the use of Machine Learning, AI, and automation.
• You are experienced in facilitating workshops and training sessions to enhance team capabilities.
• You have a degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees are a plus.
  More generally the candidate who will thrive in this role at Shawbrook will be open-minded, have an appetite to learn, to challenge and be challenged, flexible about the way things get done and approach the role with an appetite to grow and develop.

THE ROLE & RESPONSIBILITIES

Shawbrook is driven by a purpose to solve complex problems that unlock opportunity for its rapidly growing customer base. In Group Internal Audit, we care fundamentally about a successful Shawbrook, delivering brilliantly for our customers and colleagues.
We are on a mission to redefine the boundaries of internal auditing. Our strategy is to continue building an internal audit function that is fit for the future. We are doing audit differently to rise above traditional functions and embrace innovation, insight, and growth to build impactful ways of working. We are here to ensure that we are doing the right things for our customers by handling their data responsibly and ensuring that our processes are set up to achieve their banking needs effectively. We are driven by the need to accelerate our contribution to the success of Shawbrook by powering up ingenuity to create opportunity every single day.
We are seeking a forward-thinking Data Scientist to join our dynamic team. This role is tailor-made for a professional who not only thrives in dissecting data but also in crafting innovative solutions using advanced statistical techniques such as Machine Learning and AI. Your analytical ability will be instrumental in navigating complex questions and providing innovative solutions in providing assurance over emerging challenges. If you are a data enthusiast with a gift for business communication and a passion for nurturing team capabilities, we invite you to join us on this transformative journey with us.

KEY ROLE RESPONSIBILITIES

• Engaging in descriptive, diagnostic, predictive, and prescriptive data analytics, translating complex scenarios into actionable insights.
• Building your own workstreams in support of our existing strategy for analytics, and helping us to work towards our future state vision whilst meeting the needs of the function and helping us to deliver on our roadmap.
• Collaborating with the internal audit colleagues to identify and define value driven business questions and the pertinent problems we are aiming to provide assurance over.
• Responsible for the development of analytics, as part of our data journey, throughout the internal audit lifecycle i.e. audit needs assessment, audit planning, fieldwork, reporting and ongoing issue validation.
• Using advanced statistical techniques such as Machine Learning and AI to analyse both core and non-core business data.
• Spearheading the automation of data analysis processes to enhance efficiency and accuracy.
• Effectively develop business relationships and communicate data-driven insights in business terms, facilitating informed decision-making.
• Supporting our function to provide greater assurance and insight by empowering team members by enhancing their data literacy and analytical capabilities through workshops and training sessions.
• Proposing innovative ideas to improve analytics systems and processes within the team and encourage a data literate and best practice mindset for all within the team.
• Fostering a culture of innovation within the team, encouraging the adoption of cutting-edge data analysis techniques.