Find jobs that fit your situation.

• 5+ years of experience working as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role.
• Proven experience delivering machine learning and analytical solutions from discovery through to deployment and business impact.
• Advanced proficiency in Python and relevant data science libraries, including NumPy, PySpark, Scikit-learn, TensorFlow, and/or PyTorch.
• Strong experience using Databricks, including Jobs, Asset Bundles, Delta Lake, and MLflow.
• Experience working with business stakeholders to define problems, scope solutions, and communicate outcomes effectively.
• Experience mentoring data scientists or providing technical leadership within a cross-functional team.
• Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative discipline.

• Strong statistical, analytical, and problem-solving skills, with the ability to turn complex data into actionable business insights.
• Expertise in machine learning and predictive modelling, with experience delivering solutions in a production environment.
• Ability to evaluate and refine models using appropriate experimentation, performance metrics, and business outcomes.
• Strong stakeholder management and communication skills, capable of translating technical concepts for non-technical audiences.
• Ability to operate independently, navigate ambiguity, and prioritise work to maximise business impact.
• Experience mentoring and supporting the development of other data scientists.
• Collaborative mindset with the ability to work effectively across Product, Engineering, Commercial, and Data teams.

• Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance.
• Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility.
• Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home.
• Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing.
• Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1