Data Scientist (Data Steward) (m/f/d)

Lloyds Bank GmbH and its brands Bank of Scotland and Lloyds Bank have won over 1 million satisfied customers in recent years. And this thanks to convincing products and, above all, our committed colleagues who want to achieve the best for our customers every day with new ideas, challenges and joy. In order to continue writing our success story, we are looking for the right reinforcement for our teams, because all our ambitious goals would be unattainable without teamwork. We also welcome career changers.

For our office in Berlin Mitte we are looking for a

Data Scientist (Data Steward) (m/f/d)

• Act as the central data expert and Business Data Steward for the German Mortgages business.
• Analyse customer, product, portfolio, channel and risk data to provide insights, identify trends, detect anomalies and support business decision-making.
• Deliver portfolio analytics, forecasting, scenario analysis and ad hoc management reports to support strategic initiatives, product enhancements and business growth.
• Serve as the key interface between Mortgages and the Business Intelligence team, translating business requirements into data, reporting and dashboard solutions.
• Design, develop and maintain Power BI dashboards, reports and monitoring tools, while driving automation and efficiency in reporting processes.
• Own and maintain data definitions, business rules, Critical Data Elements (CDEs) and data standards across the Mortgages function.
• Ensure consistent use of data, high data quality and adherence to agreed business logic and controlled data sources.
• Define and monitor data quality controls, investigate data issues and coordinate corrective actions with data, technology and business stakeholders.
• Support projects, change initiatives and continuous improvement activities as the primary contact for data-related topics.
• Promote data literacy and a data-driven culture across the Mortgages department.

• Bachelor's degree in Business, Information Technology or a related discipline.
• Several years of experience in Data Science, Data Analytics, Business Intelligence, Portfolio Analytics or Data Stewardship, ideally within banking, mortgages or financial services.
• Strong analytical, problem-solving and stakeholder management skills, with the ability to translate business needs into actionable insights and recommendations.
• Advanced experience with Power BI, SQL, Databricks (Python/PySpark) and handling large and complex datasets.
• Good understanding of Azure-based data environments, including data warehousing, ELT processes, Databricks, Unity Catalog, cluster configuration and Azure Data Factory (ADF).
• Sound knowledge of data governance, data quality management, data lineage, Critical Data Elements (CDEs) and data ownership principles.
• Experience working with multiple source systems, complex data flows and cross-functional teams across business, technology and BI functions.
• Fluent in spoken and written English.

• An international team with colleagues from more than 50 different countries
• Social benefits such as a company pension scheme and capital formation contributions
• 30 days holiday as well as 24 and 31 December as non-working days
• Employee Assistance Programme – personal 24/7 helpline for all employees
• Various possibilities for flexible working, i.a. various part-time models, flexitime
• Extensive, very flexible home office arrangements
• Possibility to work from other EU countries for up to 30 days per year
• Additional benefits such as sports activities, free fruit, nuts and drinks
• Employer contributions to BVG job ticket and a Lease a bike programme
• An informal corporate culture - without dress code and ‘Sie'.
• An excellent learning culture and opportunity to improve your professional competencies
• Easily accessible city centre offices, in the vicinity of many shops and restaurants to which you receive a discount

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