Finance Data Scientist
Siemens Healthineers
A complete application in a minute
Tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
Siemens Healthineers AG is seeking a Finance Data Scientist for its Magnetic Resonance business in the UK. You will merge finance, data science and business strategy to enable smarter decisions and sustainable performance across Finance, operations and the wider business.
You will develop dashboards, ML models and data products, bridging finance with technology to drive growth, profitability and better decision-making.
Qualifications
- Strong analytical and problem-solving skills with data-driven insight.
- Ability to interpret financial performance and explain drivers to stakeholders.
- Experience with digital transformation and improving business processes.
- Proven project management, documentation and process-management skills.
- Effective communication with technical and non-technical teams.
- Experience with Microsoft Copilot or AI-enabled automation.
- Knowledge of SAP S/4HANA FI/CO and related product costing or material ledger.
- Proficiency in SQL, Python, Snowflake and data engineering concepts.
- Proficient in Power Platform and Power BI for analytics and reporting.
Responsibilities
- Lead initiatives to simplify, standardise, automate and digitalise finance processes.
- Develop practical digital solutions using Microsoft 365, Power Platform and Copilot.
- Design and develop management information, dashboards and KPI reporting.
- Build and maintain statistical and ML models using data from multiple systems.
- Develop data products and promote self-service analytics across the organisation.
- Translate Finance and business requirements into analytical solutions.
- Support monitoring of manufacturing and financial performance indicators.
- Strengthen data quality, security and accessibility with scalable governance.
Skills
Tools
Job description
At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. We are looking for a Finance Data Scientist to join our Magnetic Resonance business and help us turn complex financial and operational data into insight that makes a real difference. This is an opportunity to combine finance, data science, analytics and business strategy, working with colleagues across Finance, operations and the wider business to enable smarter decisions and sustainable performance.
About the role
This is a great opportunity for someone who enjoys working at the intersection of finance, technology and data.
You will be part of a diverse, commercially focused and data-driven team, helping improve financial planning, forecasting and performance analysis. Your work will provide greater transparency around business performance and help senior stakeholders make well-informed strategic decisions.
What makes this opportunity different is its breadth. You'll be able to combine financial understanding with data science, analytics, automation and AI, using technology to solve real business problems rather than working with data in isolation.
Whether you are developing analytical models, simplifying a finance process or translating complex data into a clear business recommendation, you will have the opportunity to see how your work contributes to growth, profitability and better decision-making.
What you'll be doing
- Lead initiatives to simplify, standardise, automate and digitalise finance processes, reducing manual work and improving productivity and data quality.
- Develop practical digital solutions using Microsoft 365, Power Platform, Copilot agents, workflow automation and other approved technologies.
- Design and develop management information, dashboards and KPI reporting for Finance and operational stakeholders.
- Build and maintain statistical and machine learning models, bringing together information from different systems to uncover actionable insights.
- Develop data products and support greater adoption of self-service analytics across the organisation.
- Translate Finance and business requirements into effective analytical and digital solutions.
- Support the development and monitoring of manufacturing and financial performance indicators and provide analytical support for business improvement initiatives.
- Help strengthen data quality, security and accessibility while ensuring solutions are scalable, maintainable and appropriately governed.
- Establish effective support and maintenance approaches so the tools you create deliver sustainable, long-term value.
- Act as a Finance subject-matter expert, applying sound judgement when validating outputs from models, dashboards and AI tools before they are used to inform business decisions.
You'll be someone who is curious about both how the business performs and how technology can help it perform better.
We're looking for a combination of the following:
- Strong analytical and problem-solving skills, with experience using data to understand business or financial performance.
- The ability to interpret financial performance, challenge assumptions and clearly explain the drivers behind variances to Finance and non-Finance colleagues.
- Experience analysing and improving business processes and leading or contributing to digital transformation projects.
- Strong project management, documentation and process-management skills.
- Confidence communicating and collaborating with both technical and non-technical stakeholders.
- Experience with Microsoft Copilot or AI-enabled automation.
- Experience with SAP or another major ERP platform. Knowledge of SAP S/4HANA, including FI/CO, product costing or material ledger, would be advantageous.
- Knowledge or experience of SQL, Python, Snowflake, data modelling or data engineering concepts.
- Experience with Microsoft Power Platform, including Power Automate, Power Apps or Power Query.
- Experience using Power BI and data visualisation to make complex information accessible and meaningful.
Just as importantly, you'll bring a collaborative, solution-focused mindset. You'll be comfortable connecting Finance, IT and business teams, combining accounting rigour with analytical curiosity and looking for practical opportunities to make processes and decisions better.
You don't need to see yourself as an expert in every technology listed above. If you can bring strong foundations, curiosity and the motivation to learn, we'd be interested in hearing what you could bring to the role.
Benefits- Competitive base salary
- 26 days annual leave with the option to buy up to 10 and sell up to 5
- Up to 10% matched pension contributions
- BUPA Private Medical
- Bonus & Share Save Scheme
- Free to use on-site gym
2 paid volunteering days a year
Beyond the benefits package, this role offers the opportunity to work across Finance, data and technology, engage with stakeholders across the business and use advanced analytics, automation and AI to influence meaningful commercial and operational decisions.
Who we are
We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
How we work
When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Siemens Healthineers are proud to be a Disability Confident Committed employer. If you require any adjustments at any stage of the recruitment process, please let us know.
-
To all recruitment agencies
Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
