Data Science Intern, Enpal

Salary not provided

SQL

Python

NumPy

Pandas

Scikit-Learn

Berlin

Office located in Friedrichshain, Berlin

Providing solar power systems for homeowners

Be an early applicant

Providing solar power systems for homeowners

1001+ employees

B2CRetailEnergySustainabilitySalesAccessibility

Be an early applicant

Salary not provided

SQL

Python

NumPy

Pandas

Scikit-Learn

Berlin

Office located in Friedrichshain, Berlin

1001+ employees

B2CRetailEnergySustainabilitySalesAccessibility

Company mission

To provide green energy for everyone.

Job

Company

Role

Who you are

Currently enrolled in a Master’s program in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
Previous internship or research experience in data science, analytics, or a similar technical role
Strong Python skills (pandas, NumPy, scikit-learn, matplotlib/seaborn, etc.)
Solid understanding of statistics, hypothesis testing, and machine learning algorithms
Proficient in data analysis, feature engineering, and SQL
High attention to detail, analytical mindset, and ability to work independently
Quick learner with strong problem-solving and communication skills
Plus: experience with production ML pipelines, econometrics, or A/B testing

What the job involves

Develop and deploy lead scoring models to help sales teams prioritize high-value opportunities
Build customer segmentation systems to identify patterns across large datasets
Implement continuous learning pipelines for models that improve automatically over time
Take models from experimentation to production-ready systems handling real traffic
Monitor model performance and detect drift in production
Work on real systems with high business impact and ownership
Opportunity to convert to a full-time role after graduation or continue part-time during studies

Our take

Rising electricity prices and increasing demand have led to renewable energy adoption to rapidly become mainstream, however obtaining a home solar power system can be complicated, time-consuming, and expensive. With a mission to bring affordable green energy to everyone, Enpal provides homeowners with an all-in-one solar solution that is both easy and affordable.

The company rents out solar power systems, saving customers from paying high acquisition costs and instead paying a flat monthly rental fee for their customised solar solution that covers all costs (including planning, installation, maintenance, and more), and includes a green electricity tariff.

The company's debt funding in 2024 added more power to an already highly impressive valuation of $2.35 billion and will help it continue on its rapid growth trajectory. As one of the fastest-growing green-tech companies in the world, Enpal also holds the status of becoming Germany’s first renewable energy unicorn company as more people across Europe make the change to renewable energy.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (3.2)

Trustpilot (4.1)

Company

Funding (last 2 of 6 rounds)

Apr 2025

$126.7m

GROWTH EQUITY VC

Dec 2023

$125.6m

LATE VC

Total funding: $789m

Company benefits

Remote/Hybrid Work Options

Company HQ

Friedrichshain, Berlin, Germany

Leadership

Mario Kohle

(Co-Founder & CEO)

Co-Founder & former CEO and Chairman of BEKO Käuferportal GmbH.

Victor Wingert

(Co-Founder)

Former Consultant and Manager at Kearney.

Jochen Ziervogel

(Co-Founder)

Worked in Business Development at BEKO Käuferportal GmbH and BMW Financial Services, Rates Trading at Deutsche Bank, and Institutional Sales at Goldman Sachs.

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