Senior Data Scientist (f/m/d)

October 1, 2026

Hybrid

Senior

Worth knowing

English is required

Description

Awin Global is hiring a Senior Data Scientist to leverage data across the group and build advanced analytics and machine learning capabilities. The role covers forecasting, recommendation systems, network intelligence, experimentation and predictive modelling, leading design through deployment of scalable solutions. You will partner with Product, Engineering and Data teams, define success metrics and evaluation frameworks, and provide technical leadership to other data scientists.

Gender markers in the title: (f/m/d)

In accordance with European anti-discrimination legislation, this job is open to all candidates

Ffemale

Mmale

Ddiverse

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

Requirements

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

Conditions

Four-day Flexi-Week at full pay with no reduction to annual holiday allowance
Hybrid/remote working scheme designed around mutual trust and flexibility
Monthly work expense contribution and remote working furniture package
Health and wellbeing initiatives and sports offers with company support
Access to the Awin Academy training suite for professional and personal growth
Peer-to-peer recognition programme with vouchers to thank colleagues

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