Senior Data Scientist
Semrush
AirflowBigQueryDockerETLGoogle Cloud PlatformKubernetesPythonSQL
Senior Field Data Scientist, AI Deployment
Braze
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
AirflowETLGoogle Cloud PlatformKerasKubernetesPandasPythonScikit-LearnSQLTensorflowTerraform
About the role
- Collaborate with customer Analytics/BI teams and OfferFit colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance reinforcement learning (self-learning) algorithms
- Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
Requirements
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
- Master’s or PhD in a relevant technical discipline preferred
- 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
- Experience in customer-facing or consulting roles is strongly preferred
- Proficient in Python (Pandas)
- Proficient with core ML libraries: TensorFlow, Keras, scikit-learn, CatBoost, XGBoost
- Skilled in SQL for querying/manipulating datasets
- Experience in machine learning pipelines and model deployment
- Engineering best practices: modular, documented code; Git; CI/CD; testing frameworks; type-hinting; code reviews
- Nice-to-have: DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, reinforcement learning algorithms
- Comfortable working directly with clients and cross-functional teams; stakeholder alignment and translating technical concepts into business value
- Strong problem-solving, continuous learning, and clear communication skills
Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
- Hybrid ways of working
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPandasTensorFlowKerasscikit-learnCatBoostXGBoostSQLmachine learning pipelinesmodel deployment
Soft skills
problem-solvingcontinuous learningclear communicationstakeholder alignmenttranslating technical concepts into business value
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in MathematicsBachelor’s degree in EngineeringMaster’s degree in a relevant technical disciplinePhD in a relevant technical discipline
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