Senior Data Scientist - SMBC

SMBC: A trusted partner for the long term

Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one for you. We like to recognise potential in our people, so we welcome your application even when your experience doesn't perfectly align with the job description. Whilst we'll always strive to be better, we're proud of our inclusive culture, and encourage our applicants and colleagues to be their authentic, unique selves.

United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, SMBC Group has an international growth agenda and award-winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets.

Read on to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future.

We are looking for a Senior Data Scientist to join the Data Analytics Team within the EMEA Data Management Office (DMO). This is an exciting opportunity to help develop and expand our data science capabilities, working closely with business and technology stakeholders to identify opportunities where advanced analytics and machine learning can deliver measurable value.

The successful candidate will be a technically experienced, hands-on data scientist who enjoys solving complex business problems and translating ideas into practical analytical solutions. A key focus of the role will be developing proofs of concept to demonstrate feasibility and potential value of data science approaches, helping the organisation understand where these capabilities can improve processes, decision making and business outcomes.

As our data science capability continues to evolve, the candidate will need to be comfortable working with ambiguity, taking initiative and exploring new approaches.

• Identify and explore opportunities to apply data science, statistical modelling and machine learning techniques to solve business problems and deliver measurable value
• Design develop and evaluate hands-on proofs of concept to assess technical feasibility, effectiveness and potential business benefits of proposed analytical solutions
• Work closely with business stakeholders to understand challenges, identify suitable analytical approaches and translate business requirements into practical data science use cases
• Be able to work in world of siloed and disconnected data bringing context to the disparate views of similar data
• Undertake exploratory data analysis, data preparation, feature engineering and model development using appropriate programming languages, tools and analytical techniques
• Apply statistical analysis, predictive modelling, classification, natural language processing and other relevant techniques to address a range of business challenges
• Evaluate and communicate model performance, limitations, assumptions and potential risks, ensuring proposed solutions are appropriate for their intended business use
• Present technical findings and outcomes to both technical and non-technical stakeholders, clearly articulating potential business value and recommendations
• Support the development of data science capabilities across the Data Analytics function, through knowledge sharing, mentoring, technical guidance and practical upskilling of colleagues
• Help establish reusable analytical approaches, coding standards, documentation and best practices to support the effective and responsible use of data science
• Maintain awareness of emerging data science techniques, proactively identifying opportunities for their practical application within the organisation.

The anticipated salary range for this role is £84,000 - £126,000 with the final offer determined based on the candidate's skills, experience, role scope, location, and relevant market factors. In addition to base salary, the role may be eligible for a discretionary incentive award and a competitive benefits package, including core benefits such as pension provision.

The Data Analytics Function is one of five 'pillars' within the EMEA DMO which is part of the Operations Planning Department (OPPD). We are…