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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Sumitomo Mitsui Banking Corporation - **Location:** London, UK - **Experience:** Expert - **Salary:** £84,000.0 - £126,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Computer Programming, Data Architecture, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, SQL Databases, Tableau (Software), Feature Engineering, Data Strategy, Information Technology, Data Analytics, Data Management, Text Analysis, Model Explainability, Document Classification, Programming Languages - **Published:** October 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8c1ce9a845d33e54 ## About the Role * Demonstrable hands-on experience working as a data scientist or in a similar advanced analytics role, with a track record of developing practical analytical solutions * Strong programming skills in Python, including experience using relevant data science and machine learning libraries * Practical experience applying statistical analysis, machine learning and predictive modelling techniques to real-world business problems * Experience developing proofs-of-concept, evaluating technical feasibility and demonstrating the potential business value of analytics approaches * Strong understanding of the end-to-end data science lifecycle, including data exploration, preparation, feature engineering, model development and evaluation * Demonstrate an understanding of the data life cycle and the evolution of data from raw value through to a meaningful data product * Ability to work independently in ambiguous or evolving environments, using initiative and sound judgement to identify appropriate solutions * Strong analytical and problem-solving skills, including the ability to translate complex business challenges into structured analytical approaches * Effective written and verbal communication skills, including the ability to explain technical concepts, findings and limitations to a non-technical audience * Experience supporting the development of colleagues through mentoring, knowledge sharing or technical coaching Desirable experience: * Experience applying natural language processing, text analytics or document classification techniques * Familiarity with model explainability, validation and responsible model principles * Experience working within financial services or another regulated industry * Experience establishing reusable data science frameworks or establishing analytical capabilities within a growing team * Familiarity with SQL and data visualisation tools such as Power BI or Tableau * Relevant degree in Data Science, Statistics, Mathematics, Computer Science or related discipline, or equivalent practical experience ## Description 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 Data Analytics Function is one of five 'pillars' within the EMEA DMO which is part of the Operations Planning Department (OPPD). We are responsible for building out the Bank's data capabilities across all EMEA entities and all datasets. The EMEA DMO initially concentrated on building foundational governance through improved Data Architecture, Data Management and Data Quality but is ultimately committed to exploiting data more effectively and innovatively across SMBC, to drive new ways of working and improved business outcomes. Our Data Strategy defines a vision for an aggregated and integrated data-enabled organisation that sets out the strategic outcomes to enable data driven decision making capability across the bank. We will continue to evolve the strategy while prioritising key foundational initiatives and business priorities for the next financial year. We are driving data-led transformation through the bank, and it is a great opportunity to join us on this exciting journey.