Expert Data Science

Reposted 4 Days Ago
Be an Early Applicant
Grania, Barcelos, Braga, PRT
In-Office
35K-65K Annually
Mid level
Biotech • Pharmaceutical
The Role
Design and deploy ML and AI solutions for finance planning and forecasting. Build predictive and prescriptive models, prepare and optimize enterprise datasets, implement model monitoring and Responsible AI, and collaborate with finance stakeholders to deliver scalable analytics, dashboards, and generative AI/LLM initiatives.
Summary Generated by Built In

Salary Range:

€35,000.00 - €65,000.00

Job Description Summary

#LI-Hybrid
Location: Barcelona, Spain
Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.
As an Expert Data Science within Novartis Digital Finance, you will build innovative analytics and AI solutions that help transform planning, forecasting, performance management, and decision-making across a global organization. Working at the intersection of Finance, data science, machine learning, and emerging AI technologies, you will turn complex data into meaningful insights, develop scalable solutions with measurable business impact, and help drive the next generation of intelligent Finance capabilities. If you are passionate about solving complex challenges, delivering real business value, and exploring the possibilities of Generative AI and advanced analytics, this is an opportunity to make a meaningful difference.

Job Description

Key Responsibilities
  • Design and deploy data science and artificial intelligence solutions that enhance finance planning and decision-making.
  • Develop predictive, prescriptive, and machine learning models that generate actionable business insights.
  • Transform complex business challenges into scalable analytics products, models, dashboards, and recommendations.
  • Collaborate with Finance stakeholders to identify high-value opportunities and drive solution adoption.
  • Prepare, validate, and optimize enterprise datasets to support analytics, reporting, and artificial intelligence initiatives.
  • Implement model monitoring, governance, and Responsible Artificial Intelligence practices across solution lifecycles.
  • Contribute to Generative Artificial Intelligence, large language model, retrieval-augmented generation, and Agentic Artificial Intelligence initiatives.
Essential Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
  • 2–5 years of experience in data science, machine learning, advanced analytics, or applied artificial intelligence.
  • Proficiency in Python and SQL for data analysis, model development, and scalable solution delivery.
  • Strong knowledge of statistics, predictive modeling, forecasting, machine learning, and model evaluation techniques.
  • Experience translating business requirements into analytical solutions with measurable business impact.
  • Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.
Desirable Requirements
  • Experience applying data science, forecasting, planning, or performance analytics within Finance or similar business functions.
  • Exposure to Generative Artificial Intelligence, large language models, retrieval-augmented generation, or Agentic Artificial Intelligence frameworks.

We are looking to fill 2 roles.

Benefits & Rewards 

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. 

  

Expected Annual Base Salary Range for role: €35,000 to €65,000 

  

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. 

  

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. 

  

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave. 

Read our brochure to learn more about our global total rewards offering: 

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf 

  

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity & Inclusion 

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.


 

Skills Desired

Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Statistical Analysis, Time Series Analysis

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related field.
  • 2-5 years of experience in data science, machine learning, advanced analytics, or applied artificial intelligence.
  • Proficiency in Python for data analysis and model development.
  • Proficiency in SQL for data analysis and scalable solution delivery.
  • Strong knowledge of statistics, predictive modeling, forecasting, machine learning, and model evaluation techniques.
  • Experience translating business requirements into analytical solutions with measurable business impact.
  • Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.
  • Implement model monitoring, governance, and Responsible AI practices across solution lifecycles.
  • Experience applying data science, forecasting, planning, or performance analytics within Finance or similar business functions.
  • Exposure to Generative AI, large language models, retrieval-augmented generation, or Agentic AI frameworks.

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

Novartis Insights

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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