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Data Science & Machine Learning - Platform Operational Excellence - STAGE (M/W/N) Job Opening In Paris – Now Hiring Believe


Job description

The Job

Operational Excellence (OpEx) in cloud operations focuses on optimizing processes and systems to improve productivity, performance, and efficiency.

Our Platform team adopts a product-oriented approach, delivering self-service solutions to meet the diverse needs of our internal engineering teams.

By continuously assessing and refining our practices, we drive consistent improvement and automation across the organization.

Attached to the Head of Operational Excellence, you will join our Platform team as a Data Science & Machine Learning Intern.

In this role, you will contribute to various data-driven projects aimed at enhancing our platform operations.

Your responsibilities will include classifying incidents and services, develop a comprehensive service catalog, and create data quality indicators.

You will explore and apply advanced data mining and AI/ML techniques (such as clustering, NLP, and anomaly detection) to support continuous improvement and automation within the platform.

Activities :

  • Collaborate with cross-functional teams (platform engineers, SREs, product owners, etc.) to understand operational data and classify incidents and services, improving our incident management and service discovery processes.

  • Build and refine a software service catalog (about 200 services) by analyzing existing data, standardizing entries, and applying machine learning where appropriate to ensure accurate and up-to-date documentation of our services.

  • Develop and implement data quality indicators and dashboards to monitor and report on the accuracy, completeness, and consistency of our platform data.

  • Experiment with data mining and machine learning techniques (e.g., clustering, natural language processing, anomaly detection) to extract insights from operational data and optimize platform workflows.

  • Document your methodology and share findings with the team to drive data-informed decision-making and continuous improvement initiatives.

  • Qualifications

  • Education: Currently pursuing a Bachelor’s or engineering degree (Bac+2/3 level) in computer science, data science, statistics, applied mathematics, or a related field.

  • Technical Skills: Solid foundation in machine learning, data mining, and applied mathematics or statistics.

    Proficient in Python programming; familiarity with TypeScript is a plus.

    Experience with data science libraries and frameworks (e.g., scikit-learn, pandas, NumPy).

  • Cloud & MLOps: Knowledge of cloud platforms (especially Google Cloud Platform) and basic understanding of MLOps concepts and tools.

  • AI/ML Interests: Interest in emerging technologies such as vector databases and large language models (LLMs) is a strong advantage.

  • Soft Skills: Autonomous, curious, and proactive with strong critical thinking and problem-solving abilities.

    Excellent communication skills and a collaborative attitude to work effectively in a team environment.

  • Practical Information: 

    Duration: 6-month internship

    Location: Paris or Greater Paris area (onsite or hybrid, as per company policy).

    Format: Internship 

    If you are passionate about data science and eager to apply AI/ML techniques to real-world problems, we would love to hear from you.

    Join us to support continuous improvement and innovation in our platform operations! 

    Additional Information

    SET THE TONE WITH US

    At Believe, we have two beating hearts: our people and our artists.

    We believe in the power of our employees, who thrive every day by unlocking their potential.

    Our goal is to provide the best possible environment for them to grow and succeed.

    ROCK THE JOB

  • Tailor-made training and coaching programs

  • A flexible remote work policy

  • Our well-being program “Pauses”, featuring a wide range of activities and workshops

  • Access to Eutelmed, a digital mental health and well-being platform offering confidential support from experienced psychologists

  • An eco-friendly and healthy company restaurant

  • Comprehensive health insurance, for individuals or families

  • Employee benefits program (comité d’entreprise)

  • A rooftop terrace

  • An in-house gym with free fitness classes

  • SING IN HARMONY

  • Ambassador Program: a chance for all Believers to take part in volunteer initiatives and make a positive impact on diversity, equity, and inclusion (DEI), well-being, and the planet

  • Sustainable Mobility Package: reimbursement of up to €600 for public or low-carbon transportation costs

  • Second-parent leave: 5 additional paid calendar days (on top of legal paternity or adoption leave — not applicable to maternity leave)

  • Believe is committed to providing equal employment opportunities, regardless of origin, gender, age, sexual orientation, religion, or health status.

    Required Skill Profession

    Librarians, Curators, And Archivists


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Believe adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying France laws and regulations

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    The average salary range for a varies, but the pay scale is rated "Standard" in Paris. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Data Science & Machine Learning Platform Operational Excellence STAGE (M/W/N) typically include Librarians, Curators, And Archivists and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Science & Machine Learning Platform Operational Excellence STAGE (M/W/N) Job Success

    Believe interview tips for Data Science & Machine Learning   Platform Operational Excellence   STAGE (M/W/N)

    Here are some tips to help you prepare for and ace your Data Science & Machine Learning Platform Operational Excellence STAGE (M/W/N) job interview:

    Before the Interview:

    Research: Learn about the Believe's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

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