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Senior Data Scientist
McKesson
Cork, Ireland
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, prod...
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HR Manager
FRS Recruitment
Cork, County Cork
A leading Cork-based manufacturer is seeking an experienced HR Manager (Site Lead) to lead day-to-day HR, industrial relations, and change del...
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Car Mechanic
JOHN BANKS LIMITED
Cork, Ireland
Map Share/Print copy link Generate PDF Application Details In order to work in Ireland a non-EEA National, unless they are exempted, must...
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Cook/ Assistant Chef
Curam Care Home Carrigaline
Carrigaline, County Cork
The Cook/Assistant Chef will report to the Head Chef / Catering Manager and Director of Nursing. The Cook will ensure the highest standards o...
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Service Electrician
EPS Group
Cork, County Cork
About the role: We have an exciting opportunity for an Electrician to join our Service & Repairs team. The position will be covering the Cork...
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Plumbers & Apprentices
Robert McGarry Plumbing & Heating
Cork, County Cork
Plumbers & Apprentices wanted in Cork Robert McGarry Plumbing & Heating Contractors are currently recruiting: • Fully Qualified Plumbers • 3r...
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Plumber
SE Systems
Cork, Ireland
Description: SE Systems are currently seeking a Plumber. This is an excellent opportunity for a highly motivated individual with great scope ...
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Plumbers & Apprentices
Robert McGarry Plumbing & Heating
Cork, County Cork
Plumbers & Apprentices wanted in Cork Robert McGarry Plumbing & Heating Contractors are currently recruiting: • Fully Qualified Plumbers • 3r...
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Plumber
SE Systems
Cork, Ireland
Description: SE Systems are currently seeking a Plumber. This is an excellent opportunity for a highly motivated individual with great scope ...
Pay not listed Apply Now
Plumbers & Apprentices
Robert McGarry Plumbing & Heating
Cork, County Cork
Plumbers & Apprentices wanted in Cork Robert McGarry Plumbing & Heating Contractors are currently recruiting: • Fully Qualified Plumbers • 3r...
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Senior Data Scientist

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more a...

Pay not listed Apply Now

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Job Description

Role: Senior Data Scientist – Forecasting Product

Organization: Enterprise Data Science The Senior Data Scientist – Forecasting Product focuses on building, improving, and operationalizing a core forecasting product, then supporting its rollout and adoption across multiple enterprise use cases. This role emphasizes applied forecasting, analytical rigor, and collaboration to ensure forecasting solutions are reliable, trusted, and scalable in practice.

The role is hands-on and execution-focused, working closely with product owners, business partners, and downstream teams to ensure the forecasting product delivers consistent value as it expands across the enterprise.

Position Objectives
• Build and mature a core forecasting product that supports planning and decision-making
• Improve forecast quality, stability, and usability for real-world applications
• Support the rollout of the forecasting product across teams, domains, and use cases
• Leverage modern techniques, including LLMs where appropriate, to enhance forecast understanding and decision support
• Contribute to measurable business impact through forecasting improvements

Key Responsibilities

Forecasting Product Development
• Develop, test, and improve forecasting models using statistical, machine learning, and deep learning approaches
• Apply forecasting techniques to core product use cases (e.g., demand, volume, usage, financial, or capacity forecasting)
• Analyze forecast performance, bias, and stability across segments and time horizons
• Develop probabilistic forecasts and uncertainty estimates where appropriate
• Ensure forecasting outputs are reliable, interpretable, and suitable for repeated use

Product Maturity & Reusability
• Help standardize forecasting assumptions, evaluation metrics, and outputs
• Contribute to making forecasting solutions reusable across multiple applications
• Document model behavior, limitations, and expected usage patterns
• Explore the use of LLMs to improve forecast explainability, summarization, and user understanding
• Support continuous improvement of the forecasting product based on user feedback and performance data

Enterprise Rollout & Adoption
• Support rollout of the forecasting product to new business domains and teams
• Partner with stakeholders to understand how forecasts are consumed in different contexts
• Help adapt forecasting outputs to meet varied decision needs while maintaining core consistency
• Assist with onboarding users and explaining forecast behavior, uncertainty, and trade-offs
• Identify adoption gaps and opportunities to improve usability and trust

Collaboration with Downstream Teams
• Work with planning, optimization, finance, or analytics teams to ensure forecasts are fit for downstream use
• Align on forecast expectations such as horizon, refresh cadence, and confidence bounds
• Help determine whether limitations in business outcomes are driven by forecast quality or downstream decision logic

Technical Excellence
• Follow best practices for experimentation, evaluation, and validation
• Write clear, maintainable Python code for data analysis and modeling
• Contribute to shared forecasting utilities and reusable components as needed
• Document methodologies, assumptions, and key trade-offs

Stakeholder Communication
• Communicate forecasting results, uncertainty, and limitations clearly to non-technical audiences
• Support adoption by helping users understand when and how to rely on forecasts
• Collaborate effectively with cross-functional partners in ambiguous problem spaces

Minimum Requirements
• Experience: 4–7 years of data science, machine learning, or advanced analytics experience, including a
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