Data engineer

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• Clean, transform, and analyse large datasets to identify trends and patterns.
• Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python.
• Write and optimize SQL queries to extract data from various relational databases.
• Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders.
• Partner with engineering and product teams to understand data needs and ensure data integrity.
• Stay up-to-date with the latest data science trends and participate in internal knowledge-sharing sessions.

• BACHELORS DEGREE MANDATORY
• Strong programming skills in Python with knowledge in ML/Al libraries (TensorFlow, PyTorch, scikit-learn, Keras).
• Experience with SQL/NoSQL databases and data pipelines.
• Familiarity with big data technologies like Hadoop, Spark, or Kafka
• Master’s degree in data science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).
• Strong mathematics and statistics background.
• Ability to commute/relocate: Greater London: reliably commute or plan to relocate before starting work (preferred)
• Будет плюсом: Good to have large datasets and using tools such as Pandas, NumPy, and Matplotlib; Good to have knowledge with containerization and orchestration (e.g., Docker, Kubernetes); Contributions to open-source ML/Al projects; Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning; Excellent problem-solving and critical thinking abilities; Ability to work independently and collaboratively within a team; Strong communication skills to explain technical details to non-technical stakeholders

• Условий в вакансии нет