Lead Data Scientist

**Open in all locations: France, Germany, the Netherlands, and the United Kingdom**

**Team & Technology**
- Data Products Team:
The Data Products Team is responsible for developing customer-facing data products that leverage advanced analytics and ML/AI. Their work focuses on creating solutions like recommendation engines, ranking algorithms, and predictive models that enhance user experience and drive business growth.
- Data Science Business Enablement:

- In our technology stack, you will find:

- AWS services like SageMaker, ECR, Lambda, API Gateway, DynamoDB, RDS, S3, EC2, CloudWatch
- Python
- SQL
- ML frameworks including TensorFlow, PyTorch, and Scikit-learn
- Docker
- MLOps tools like MLflow, Kubeflow, Terraform, Graphana, Sagemaker Experiments
- Git
- Orchestration tools like Airflow, Sagemaker Pipelines, and AWS EventBridge

**Your role includes the following**

1. Product Discovery and Strategy:

- Actively identify and develop ML/AI products with significant business impact.
- Collaborate with stakeholders to ensure product vision aligns with business objectives.

2. Development and Execution:

- Design, build, and refine ML/AI solutions, such as recommendation engines and LLM tools.
- Work hands-on to translate business needs into clear technical requirements.

3. Product Delivery:

- Lead and contribute to the full lifecycle of data products, from ideation to deployment.
- Implement best practices for scalable, reliable solutions and continuous improvement.

4. Collaboration and Communication:

- Serve as the key liaison between data science and other teams, ensuring alignment and clear communication.
- Communicate product value and technical details to drive adoption.

5. Leadership and Mentorship:

- Lead by example with hands-on involvement in ML/AI development while mentoring the team.
- Advanced degree in Data Science, Machine Learning, Computer Science, or a related field.
- 7+ years of experience in ML/AI development and deployment, with strong expertise in product discovery, delivery, and execution.
- Proven ability to translate business needs into data science solutions, with experience leading cross-functional teams.
- Proficiency in Python and experience with ML/AI frameworks and tools.
- Strong communication skills, able to convey complex concepts clearly.
- Skilled in analysing models and features to generate data-driven hypotheses for product improvement.
- Knowledge of AWS and MLOps practices is a strong plus
- Familiarity with internal ML/AI use cases, including experimentation platforms and LLMs is a strong plus
- Experience in two-sided marketplaces is a strong plus

**Why you’ll enjoy working at the Instapro Group**:
**You can make an Impact. **Joining Instapro Group is an opportunity to help crack the code in one of the last big industries to become digital-first. We’re leaders in our markets, yet small enough for everyone to make a real difference.

**We care**. We don’t believe in one size fits all. Whether it’s flexibility in your working hours, your location, or opportunities to advance and grow, you’ll find a supportive and open culture designed to help our team members thrive.

These are the benefits you'll enjoy:

- Highly competitive salary package
- Hybrid work environment
- Hybrid allowance/benefit
- Eligibility to receive an equity award
- Temporary work from abroad policy
- Mental health support
- Regular team and social events
- Further benefits depending on location

These are the values that guide everything we do:

- ** We put integrity first**. We are authentic, transparent and respectful.
- ** We are all stewards. **We are stewards of the company on behalf of all stakeholders.
- ** We follow the evidence. **We are objective, evidence-based and pragmatic in our decision-making.
- ** We never stop learning.** We are open-minded and curious.
- ** We win together.** We collaborate and earn trust with our colleagues.
- ** We are inclusive.** We are committed to building a diverse and inclusive company.

Read our values in full here