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

We are seeking a Lead Data Scientist to spearhead the development, delivery, and execution of simple data as well as complex ML/AI solutions. This role will involve driving the entire lifecycle of ML/AI data products, including product discovery, development, and deployment for both customer-facing and internal applications.


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:
  The Data Science Business Enablement team focuses on building internal data products using advanced analytics and ML/AI. Their role is to develop tools and platforms that support internal business processes, such as experimentation frameworks, document validation systems, and applications of LLMs, enabling more informed decision-making and operational efficiency within the organisation.

• In our technology stack, you will find:
  • AWS services like Sage Maker, ECR, Lambda, API Gateway, Dynamo DB, RDS, S3, EC2, Cloud Watch
  • Python
  • SQL
  • ML frameworks including Tensor Flow, Py Torch, and Scikit-learn
  • Docker
  • MLOps tools like MLflow, Kubeflow, Terraform, Graphana, Sagemaker Experiments
  • Git
  • Orchestration tools like Airflow, Sagemaker Pipelines, and AWS Event Bridge

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.
  
• Encourage continuous learning and innovation, applying the latest data science advancements.
  

• 
  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
  
• Experience with customer-facing ML/AI applications (e.g., recommendations, personalisation) 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

Interested in applying? Submit your application below and we will get back to you.