Senior Data Scientist

Boston Scientific; Clonmel; On-site; EUR 90,000 - 120,000; Full time

Job summary

Boston Scientific is seeking a Senior Data and Analytics Specialist to lead a multidisciplinary team delivering digital solutions across manufacturing and enterprise operations. You will translate complex business problems into prioritized use cases and drive end-to-end delivery from discovery through deployment, adoption and benefit realisation.

You will establish reusable engineering practices, collaborate with cross-functional teams including IT, cybersecurity and finance, and ensure

Qualifications

• Honours degree or higher in Computer Science, Data Science, Engineering or related field.
• Strong knowledge of SQL, Python or R, data platforms and analytics.
• Formal training in agile delivery, product management, cloud platforms or leadership is advantageous.

Responsibilities

• Lead a multidisciplinary team delivering digital products, analytics and decision-support solutions against a portfolio roadmap.
• Translate business problems into prioritized use cases, requirements and delivery plans with defined owners.
• Own end-to-end delivery from discovery to industrialisation, deployment and adoption.

Skills

SQL

Python/R

Data analytics

Team leadership

Agile

Education

Honours bachelor’s degree in Computer Science or related field

Agile / product management / cloud platforms training

Tools

SAP

APIs

Data lakes

Cloud platforms

Job description

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we'll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions.

Advancing possibilities for a brighter tomorrow

We are seeking a Senior Data and Analytics Specialist on a permanent basis to join our team.

Job Purpose

Leads a multidisciplinary development team that designs, builds and scales governed digital solutions across manufacturing and enterprise operations. The role converts high-value business opportunities into an executable product roadmap and delivers measurable outcomes in quality, service, cost, productivity and capacity.

This role owns delivery from problem definition through solution design, development, validation, deployment, adoption and benefit realisation. Working with extended business functions, Quality, IT, cybersecurity, compliance and finance, the Senior Data Scientist establishes reusable engineering practices, develops team capability and ensures solutions are secure, traceable, supportable and scalable across sites.

Key Responsibilities

• Lead, coach and coordinate a development team delivering digital products, analytics and decision-support solutions against an agreed portfolio roadmap.
• Translate business problems into prioritised use cases, clear product requirements, technical designs and delivery plans with defined owners, milestones and value measures.
• Own end-to-end delivery from discovery and proof of concept through industrialisation, deployment, adoption, support and continuous improvement.
• Guide the design and development of data pipelines, governed datasets, semantic models, analytics, AI-enabled workflows and user-facing digital applications.
• Establish engineering standards for architecture, code quality, testing, documentation, validation, monitoring, data lineage, access control and production support.
• Partner with process owners, site teams and subject-matter experts to co-design solutions that address common needs and can be reused and scaled across the network.
• Manage delivery risks, dependencies, resources and technical decisions; remove barriers and provide clear progress, options and recommendations to stakeholders.
• Define baselines and success measures with Finance and business owners, track adoption and realised benefits, and ensure the team remains focused on solutions that create measurable value.
• Build team capability through mentoring, technical review, knowledge sharing and structured development of data, software, product and business-domain skills.

Education & Experience

Education & Certifications

• Honours bachelor’s degree (level 8) or higher in Computer Science, Data Science, Engineering, Data Analytics or a related discipline, or equivalent relevant experience.
• Strong practical knowledge of SQL, Python or R, data platforms, integrations, analytics, reporting and digital application delivery.
• Formal training or certification in agile delivery, product management, cloud platforms, data engineering or people leadership is advantageous.

Experience

• Typically 7+ years of relevant experience in data science, data engineering, analytics, software development or digital manufacturing, including experience leading technical delivery or mentoring developers.
• Demonstrated success leading a team or workstream to deliver production-grade digital solutions from concept through deployment, adoption and support.
• Experience defining product roadmaps, prioritising backlogs, planning resources and managing delivery across multiple stakeholders and dependencies.
• Experience integrating enterprise and operational data from systems such as SAP, MES, equipment, historians, APIs, data lakes or cloud platforms.
• Practical experience with data quality, metadata, lineage, security, validation, monitoring and documented support processes in a regulated environment.
• Proven ability to quantify expected benefits, communicate technical trade-offs and drive delivery toward measurable business outcomes.

Core Competencies

• Technical team leadership, coaching and capability development
• Digital product strategy, roadmap ownership and agile delivery
• Solution architecture, data engineering, SQL, Python/R and API integration
• Data modelling, analytics, AI/ML, reporting and workflow automation
• Production engineering practices, testing, validation, monitoring and support
• Stakeholder influence, cross-functional collaboration and executive communication
• Value assessment, adoption measurement and benefit realisation
• Governed, reusable and scalable solution delivery across sites

Key Standards & Practices (as applicable)

• Data governance and master data management practices
• Data quality management (profiling, rules, monitoring)
• Metadata and lineage management
• Privacy-by-design and least-privilege access controls
• ISO 13485 (medical device QMS)
• 21 CFR Part 820 / FDA QSR (and applicable local regulations)
• ISO 14971 (risk management)

A good working knowledge of Boston Scientific systems a distinct advantage.

The successful candidate must be a self-starter with the ability to work on own initiative, while possessing strong team player characteristics.

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen.

At Boston Scientific, we recognise that nurturing a diverse and inclusive workplace helps us be more innovative. It is essential in advancing science for life and improving patient health. We stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve. Boston Scientific is proud to be an equal opportunity and affirmative action employer. Boston Scientific is committed to providing reasonable accommodations for applicants and employees with a disability. Should you require a reasonable accommodation during the recruitment process, please email [e-mail]