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Data Scientist

extra holidays - fully flexible
Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Expertise in data science and analytics, Experience in aviation or supply chain, Strong leadership and team-building skills, Proficiency in predictive modeling techniques.

Key responsabilities:

  • Establish and lead a new team
  • Lead transformative projects in data analytics
  • Design predictive models and analytics solutions
  • Translate insights into actionable strategies
AJW Group logo
AJW Group SME https://www.ajw-group.com/
501 - 1000 Employees
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Job description

We are seeking an exceptional Lead Data Scientist to join AJW Group and spearhead the evolution of our Data & Analytics function. This role is a unique opportunity to build and lead a dynamic team while driving impactful projects that address complex business challenges.

We are at the forefront of innovation, shaping the future through data and analytics. AJW Group is dedicated to leveraging cutting-edge technologies and data-driven insights to transform industries and create measurable impact. If you’re a forward-thinking professional passionate about data science, aviation, or supply chain, we want you to lead our transformative journey.


What you’ll be doing

  • Establish and lead a new team within the Data & Analytics department, fostering a culture of innovation, collaboration, and excellence.

  • Lead transformative projects such as inventory optimisation and automated pricing, ensuring alignment with business objectives.

  • Design, develop, and implement predictive models and advanced analytics solutions that drive intelligent decision-making.

  • Apply your commercial experience in data science within aviation or supply chain contexts to tackle industry-specific challenges.

  • Translate data insights into actionable strategies, delivering measurable business outcomes.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Leadership
  • Decision Making
  • Collaboration
  • Innovation

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