Finance Data Science Manager, EMEA

THIS ROLE CAN BE BASED IN ANY EMEA HUB (MADRID, MILAN, VOISINS-LE-BRETONNEUX, DÜSSELDORF, HEMEL HEMPSTEAD OR WARSAW)

About the role:

As Boston Scientific Finance organization is evolving through different global programs, we want to upscale our competencies and create/develop the data science capability. This role is therefore a creation, and a great opportunity to join our fast-paced Finance function and support the fast-growing Boston Scientific business in EMEA.

We are seeking a dynamic and experienced Finance Data Science Manager who will play a critical role in delivering high-impact, data-driven insights to support strategic decision across the finance organization, fostering a collaborative environment that promotes learning and innovation.

Longer term we will assess the possibility to hire more resources to expand on scope and impact, managing, mentoring, and guiding a team of data scientists and analysts.

The ideal candidate possesses a strong foundation in finance and data science, with a proven track record of using advanced analytics to solve complex financial challenges. This role requires a hands-on leader who can drive end-to-end analytics projects, from data extraction and modelling to interpretation and presentation.

In this role you will be responsible to:

• Lead and Develop Data Science Team: Manage, mentor, and guide a team of data scientists and analysts, fostering a collaborative environment that promotes learning and innovation.

• Strategic Analytics and Insights: Partner with finance, accounting, and business stakeholders to understand analytical needs and identify areas where data science can drive value. Translate business requirements into analytical solutions.

• Modelling and Forecasting: Develop and implement advanced financial models, including forecasting, risk analysis, profitability modelling, and trend analysis, to optimize financial strategies and support decision-making.

• Data Infrastructure and Pipelines: Oversee the data collection, ETL processes, and infrastructure necessary to support robust financial analytics. Collaborate with data engineering teams to ensure data accuracy, consistency, and availability.

• Advanced Data Analytics: Apply machine learning, predictive modelling, and statistical techniques to financial datasets to uncover trends, anomalies, and insights that can drive business performance and efficiency.

• Performance Reporting and Visualization: Create and automate financial dashboards, visualizations, and reports to monitor key financial metrics and KPIs, providing real-time insights to finance and executive teams.

• Cross-Functional Collaboration: Work closely with teams across the company, including Product, Marketing, Sales, and IT, to leverage data for holistic decision-making that aligns with broader business objectives.

• Compliance and Data Governance: Ensure that all analytics and data management practices comply with relevant financial and regulatory standards, including GDPR, SOX, and other data privacy and security protocols.

• Communication & influence: Use excellent written, verbal communication and digital media skills for coordinating across teams and engaging and influencing stakeholders

What are we looking for in you:

• Bachelor’s degree in Finance, Data Science, Statistics, Mathematics, Computer Science, or a related field. A Master’s degree or MBA is preferred.

• 5+ years of experience in data science or analytics, with a focus on finance or financial services; at least 2 years in a leadership or management role.

• Professional with complete understanding and wide application of principle, theories, and concepts in the field.  Applies a full understanding of the area of specialization to resolve a wide range of issues in creative ways. 

• Proven track record of delivering end-to-end data science solutions, from data collection and preparation to model development and deployment.

• Ability to distil and communicate complex concepts, display information visually and make the patterns and insights revealed in data clear and compelling

• Excellent communication skills with the ability to translate complex analyses into actionable insights for non-technical stakeholders.

• Highly skilled at rapidly building effective relationships with all levels of the organization

• Experience working with and creating data architectures

• Strong proficiency in SQL, Python, R, or similar programming languages used in data science and financial modelling.

• Experience with data visualization tools (e.g., Tableau, Power BI) and familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.

• Fluency in English essential. Other European language’s ability advantageous.

What we can offer to you:

• Working in an international environment.
• Attractive benefits package.
• Inspirational colleagues & culture.
• Career Development.
• Possibility to make an impact.
• Fast-growing and innovative environment.
• A team-oriented company culture.
• Excellent training/development programs.
• Decision-making.
• Upskilling.
• Company with a purposeful mission.

Working schedule: hybrid (3 days per week in the office + 2 days per week working from home).

We, Boston Scientific, are an equal employment opportunity employer. We do not and will not make any personnel decisions (like recruiting, hiring, job assignments, and promotions) based on a person’s age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.