Senior - Data Scientist (Remote)
1 month ago
JOB SUMMARY
Requirements Python Proficient in popular machine learning frameworks for time series data, including: scikit-learn, LightGBM and XGBoost Experienced with Continuous Integration/Continuous Deployment (CI/CD) frameworks. Skilled in monitoring models in production environments. Proficient in Python and experienced with cloud services (AWS, GCP, Azure). Familiar with containerization technologies (Docker, Kubernetes) and orchestrators (Airflow). Well-versed in MLOps best practices. Experience in developing credit scoring/decisioning models. Strong problem framing and problem-solving skills.
RESPONSIBILITIES
We are seeking someone with a focus on developing machine learning infrastructure, advanced ML modelling, and monitoring tools. Ideally with a background in both software engineering and data science, enabling you to build scalable ML pipelines, create advanced monitoring systems, and develop robust machine learning models. It would be a real bonus if you had expertise in credit scoring/decisioning models . This is a fully remote role, within the following time zone (UTC -1 / UTC+3). Our engineers work remotely from locations such as UK, Europe and Africa. You will be reporting to the group Engineering Manager.
REQUIRED SKILLS
Analytics, Data models and architectures, Python, Big data and data analytics, Database query languages (SQL, others), Data mining, Data analysis
REQUIRED EDUCATION
Bachelor's degree
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