Location: London
Job Type: Full-time, Entry-level
UK based candidates ONLY
What You’ll Do (Responsibilities)
* Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns.
* Model Building: Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python.
* Database Management: Write and optimize SQL queries to extract data from various relational databases.
* Visualization: Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders.
* Collaboration: Partner with engineering and product teams to understand data needs and ensure data integrity.
* Continuous Learning: Stay up-to-date with the latest data science trends and participate in internal knowledge-sharing sessions.
Required Skills (What we're looking for)
Technical Skills:
* Strong programming skills in Python with expertise in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
* Experience working with large datasets and using tools such as Pandas, NumPy, and Matplotlib.
* Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GP).
* Familiarity with big data technologies like Hadoop, Spark, or Kafka.
* Experience with SQL/NoSQL databases and data pipelines.
* Experience with containerization and orchestration (e.g., Docker, Kubernetes).
Preferred Qualifications:
* Hands‑on experience in productionising machine learning models.
* Prior experience in building recommendation systems, predictive analytics, or anomaly detection models.
* Contributions to open‑source ML/AI projects.
* Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
* Strong mathematics and statistics background.
* 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.
Education: Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).
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