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Lead Data Scientist (m/w/d)

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At a Glance

Location
Düsseldorf
Experience
5–7 years
Posted
2026-07-15T06:19:18-04:00

Key Requirements

Required Skills

Data SciencePythonSQL

Domain Knowledge

  • Engineering

Requirements

5-7 years at the intersection of Data Science, AI Product Management, and Engineering, ideally combining two of: a top-tier consultancy data science practice, a Lead Data Scientist role with team responsibility, or an AI/ML PM role at a scale-up

Technically deep (Python, SQL, ML frameworks, cloud data infrastructure) and able to lead Data Scientists credibly: setting direction on model architecture, reviewing feature engineering choices, and stepping into the code when needed

You think in business cases and revenue impact, not just model accuracy - and can communicate trade-offs clearly to both a CCO and a Data Scientist

Compensation & Benefits

Full ownership from day one: roadmap, team direction, and outcomes - not a slice of someone else's initiative

Direct C-level visibility on one of the company's most strategically important AI programs, with a clear path into broader product and leadership roles

An international environment spanning HQ strategy to field sales across European markets, with flexible hybrid working and additional perks including Jobrad eBike leasing and parent-child offices

If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!

Responsibilities

As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact.

We're looking for a Lead Data Scientist (m/f/d) to own one of the most technically ambitious and commercially consequential AI initiatives in European B2B.

Our partner company is a leading B2B mobility and payment solutions provider active in 50+ countries, with around 2,700 employees and €19 billion in transaction volume.

As the business enters its next phase, it is investing heavily in data and AI to strengthen its market position at scale.

You will own the full Sales Models portfolio - Next Best Action, Churn, Customer Lifetime Value, and adjacent use cases - and lead a cross-functional team of Data Scientists and Engineers to deliver it.

You set the roadmap, the technical standard, and the business case.