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Data Scientist I

IBM

Mulhuddart

On-site

EUR 60,000 - 85,000

Full time

Today
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Job summary

IBM is seeking a Data Scientist II to join a dynamic team working on generative AI and machine learning for FinOps products. This role involves designing and validating ML models to provide actionable insights for enterprise customers. You'll collaborate with engineers and product managers, leveraging large datasets and innovative techniques to optimize cloud and IT financial management.

Benefits

Competitive compensation
Flexible work culture
Benefits package

Qualifications

  • Hands-on experience in a data science or machine learning role.
  • Proficiency with Python and ML libraries.
  • Experience with large datasets and SQL.

Responsibilities

  • Design, train, and validate machine learning models for FinOps.
  • Communicate insights to stakeholders.
  • Collaborate with software engineering teams.

Skills

Python
Machine Learning
Data Analysis
NLP
Generative AI

Tools

scikit-learn
pandas
PyTorch
TensorFlow
SQL

Job description

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Introduction

We’re looking for a Data Scientist II to join a high-impact, cross-functional team of data scientists and engineers focused on bringing generative AI and machine learning to life within Apptio’s suite of FinOps products, including ApptioOne, Cloudability, and beyond.

This role blends applied software engineering with innovative AI use cases, helping enterprise customers gain deeper, faster, and more actionable insights into their cloud and IT spend.

Why You’ll Love Working at Apptio

  • Work on real AI/ML solutions with immediate enterprise impact
  • Collaborate with smart, driven teammates across engineering, product, and design
  • Be part of a company that’s defining the future of IT financial management
  • Competitive compensation, benefits, and flexible work culture
  • Backed by IBM’s scale and Apptio’s product innovation

Your Role And Responsibilities

  • Design, train, and validate machine learning models to solve real-world business problems in the FinOps/TBM space
  • Develop and productionize models in collaboration with software engineering teams
  • Leverage large-scale data from cloud providers, IT systems, and financial platforms to identify trends and optimization opportunities
  • Explore and experiment with LLMs, NLP, and generative AI techniques to improve user experiences, reporting, and automation
  • Partner closely with product managers, data engineers, and UX designers to shape intelligent product features
  • Communicate insights and model behavior to technical and non-technical stakeholders

Preferred Education

None

Required Technical And Professional Expertise

  • Demonstrated hands-on experience in a data science or machine learning role
  • Proficiency in Python and experience with common libraries (e.g., scikit-learn, pandas, PyTorch, TensorFlow)
  • Familiarity with generative AI, LLMs, or NLP
  • Strong understanding of machine learning fundamentals, model evaluation, and statistical methods
  • Experience working with large datasets and SQL-based environments
  • Comfort working across the full ML lifecycle—from experimentation to deployment and monitoring
  • Excellent communication and collaboration skills

Preferred Technical And Professional Experience

  • Experience with cloud cost optimization, FinOps, or enterprise financial platforms
  • Knowledge of MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)
  • Familiarity with Apptio products (ApptioOne, Cloudability, Targetprocess)

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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