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Customer Data Scientist

New

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich, Essen
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop business-relevant scores and statistical models for customer analysis, support the optimization of the Customer Engagement Model, and create data-driven recommendations for actively managing the customer base.

    Job Technologies

    Your role in the team

    • You are responsible for business-relevant scores and understand new propositions together with the business.
    • You derive target groups and relevant influencing factors and develop initial MVP scores yourself.
    • In cross-functional squads, you contribute to the development of statistical models and support their transition into stable data pipelines.
    • You ensure that the scores are technically accurate, relevant for management, and effectively implemented in use cases/campaigns.
    • You actively support the further development of our Customer Engagement Model (COSMIC) through expertise-driven decision-making, prioritization, and optimization models for value-oriented management of our customer base, which you develop.
    • There, you combine customer value, customer behavior, scores, and business objectives into consistent control logic for activation, retention, and service.
    • As a sparring partner for the Customer Value Managers, you develop PowerBI control reports and analyze the customer base (e.g., product switches, acquisition, churn) using SQL.
    • You identify anomalies, derive data-driven recommendations for action, and create concise decision templates for management.
    • Furthermore, you contribute your insights to the ideation of new campaigns, develop measures together with the specialist departments, and support their structured testing and effectiveness evaluation.
    • You develop new analytical approaches, test hypotheses, build prototypes, and support the further development of data-driven decision-making, prioritization, and control logic for the next generation of Customer Base management.
    • You actively utilize modern AI tools (e.g., Claude, Copilot, or comparable solutions) for analysis, structuring, and increasing efficiency, and you quickly familiarize yourself with new technologies.

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    Our expectations of you

    Education

    • You have successfully completed a degree in Business Informatics, Economics, Statistics, Mathematics, or a comparable field.

    Qualifications

    • You understand the interrelationships around Customer Analytics, Customer Lifetime Value (CLV), segmentation, and data-driven control models.
    • You can translate analytical insights into concrete action recommendations and business decisions, working hypothesis-driven and pragmatic.
    • You use modern AI tools confidently and are enthusiastic about innovative approaches to the further development of data-driven solutions.
    • You impress with your sense of responsibility, implementation strength, and enjoyment of collaboration with Business, Analytics, and Data Science teams.
    • Additionally, you possess negotiation-level proficiency in German and English.

    Experience

    • You have very good SQL and Python skills and experience in handling large datasets.
    • You have practical experience in developing, validating, and applying machine learning models and confidently utilize modern data science methods.

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    What we offer

    • An innovative environment for shaping a sustainable energy world of tomorrow.
    • Flexible working hours and a hybrid work model to promote work-life balance.
    • Opportunities for workation in European countries, sabbaticals, or additional vacation days.
    • An agile work environment with interdisciplinary collaboration, flat hierarchies, and a culture of informal address.
    • Diverse learning & development programs, funding initiatives, and career advancement opportunities within the group.
    • Attractive additional financial benefits, e.g., company pension scheme and asset-building benefits.
    • Numerous benefits, e.g., employee stock ownership plan, E.ON Leasing Bike/Car, EGYM Wellpass, holiday apartments, employee discounts at well-known brands and providers.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Higher Take-Home Pay

    Food & Drink

    Topics You Will Work On

    Job Locations

    • Location Munich

      Bayern

      Germany

    • Location Essen

      Nordrhein-Westfalen

      Germany

    About Your Employer

    E.ON

    E.ON

    At E.ON, we are committed to making the energy world more efficient and intelligent. Through innovative customer solutions and unique energy networks, we can improve the quality of life for people around the world. Our headquarters is in Essen, from where we coordinate our international activity.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Power Sector, Economy
  • Employer reviews

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    Total

    (1 Review)
    3.3
    • Culture

      3.5
    • Workingconditions

      4.0
    • Career Growth

      3.2
    • Engineering

      2.7
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    Logo E.ON

    Customer Data Scientist

    Location
    Munich, Essen
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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