Senior Data Scientist (f/m/d) New

Awin; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Flexi-Week

Hybrid/Remote culture

Expense allowance for home office

Job summary

Awin is seeking a Senior Data Scientist to advance machine learning, forecasting, and analytical capabilities across the business. You will work with Product, Commercial, Engineering, and Data teams to translate business challenges into scalable data-driven solutions, delivering measurable impact through robust evaluation and governance.

You will lead end-to-end feature pipelines, models, and MVPs, mentor peers, and help shape the DS roadmap while communicating insights to both technical and

Qualifications

• 5+ years in data science or ML roles.
• Experience delivering ML solutions from discovery to production and business impact.
• Proficiency in Python and ML libraries.

Responsibilities

• Lead development and deployment of ML and analytical solutions with measurable business impact.
• Partner with Product, Commercial, Engineering, and Data teams to translate challenges into data-driven solutions.
• Design evaluation frameworks, experiments, and success metrics to measure outcomes.
• Apply statistical modelling and ML techniques to solve complex problems and generate insights.
• Build scalable feature pipelines, model development, and deployment workflows with Data/Software teams.
• Drive rapid MVP development with path to production-ready solutions.
• Promote best practices for model development, evaluation, monitoring, and governance.
• Mentor and support other data scientists within the team.

Skills

Python

NumPy

Scikit-learn

TensorFlow

PyTorch

Databricks

Delta Lake

MLflow

Stakeholder management

Mentoring

Education

Bachelor's degree or higher in a quantitative field

Tools

Databricks

Delta Lake

MLflow

Job description

Data sits at the heart of the company. This role ensures that Awin can fully leverage the data available across the group, enabling the development of advanced analytical and machine learning capabilities that support stronger commercial decision-making and enhance products used by client-facing teams.

As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strategy. Working across areas such as forecasting, recommendation systems, network intelligence, experimentation, and predictive modelling, you will lead the design, development, evaluation, and deployment of scalable solutions that create measurable business impact.

You will work closely with business stakeholders, Product, Engineering, and Data teams to identify opportunities, shape problem definitions, and translate business challenges into practical technical solutions. You will be responsible for defining success metrics, establishing evaluation frameworks, and ensuring analytical solutions remain reliable, scalable, and aligned to business objectives.

In this role, you will lead the development of end-to-end feature pipelines, models, and MVPs, balancing rapid experimentation with long-term sustainability. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within the organisation.

Key Responsibilities

• Lead the development and deployment of machine learning, forecasting, recommendation, and analytical solutions that create measurable business impact.
• Partner with stakeholders across Product, Commercial, Engineering, and Data teams to identify opportunities and translate business challenges into data-driven solutions.
• Design and implement robust evaluation frameworks, experiments, and success metrics to measure performance and business outcomes.
• Apply statistical modelling, machine learning, and advanced analytical techniques to solve complex business problems and generate actionable insights.
• Build scalable feature engineering, model development, and deployment workflows in collaboration with Data Engineering and Software Engineering teams.
• Drive rapid MVP development, validating ideas quickly while ensuring a path to sustainable production solutions.
• Define and promote best practices for model development, evaluation, monitoring, and governance.
• Mentor and support other data scientists, contributing to technical capability and knowledge sharing across the team.
• Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences.
• Contribute to the evolution of the Data Science roadmap, identifying new opportunities to apply advanced analytics and machine learning.

Experience

• 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.

Skills & Core Competencies

• 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.

Our Offer

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.

We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview.

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.