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WorkWave
Senior Applied Data Scientist / ML Engineer
Remote · UK · Full time · Senior level
About the role
Turn raw operational data into products that improve customer decisions and business operations. Own the entire process from problem framing to deployment and impact measurement.
What you’ll do
• Own ambiguous customer problems and deliver ML solutions. • Learn customer domain and semantics deeply. • Build necessary data features in Snowflake and dbt. • Define evaluation metrics and prove model impact. • Deploy, test, monitor, and operate ML models.
What you’ll bring
• 5+ years in applied data science or ML engineering. • Strong Python and ML libraries experience. • Solid SQL expertise. • Experience building data pipelines and deploying models. • Excellent communication with technical and non-technical teams.
Life at WorkWave
Flexible, collaborative environment with competitive pension, generous leave, and ongoing learning. Inclusive culture with mental health and legal support.
About WorkWave
WorkWave develops innovative solutions that help customers make better decisions and improve business outcomes.