Responsibilities
- Support the design, development, and testing of machine learning models and data analytics solutions.
- Perform data cleaning, preprocessing, and transformation using Python libraries such as pandas and NumPy.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations.
- Assist in feature selection and engineering to improve model performance.
- Evaluate model performance using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC.
- Help build and maintain automated data pipelines and model deployment scripts.
- Collaborate with data engineers and senior data scientists to integrate models into production.
- Create clear and concise data visualizations and communicate insights to technical and non-technical stakeholders.
Basic qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and key data science libraries (NumPy, pandas, scikit-learn, Matplotlib, Seaborn).
- Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering).
- Knowledge of data querying and manipulation using SQL.
- Familiarity with Jupyter Notebooks, Git, and version control workflows.
- Strong analytical thinking and problem-solving skills.
- Eagerness to learn, collaborate, and apply new technologies in real-world projects.
Preferred qualifications
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Exposure to cloud platforms (AWS, GCP, or Azure).
- Understanding of model evaluation and deployment best practices.
- Internship or project experience in machine learning, data analytics, or AI applications.
Benefits
- Mentorship from experienced data scientists and engineers.
- Opportunities to work on impactful real-world ML projects.
- Access to cutting-edge tools, datasets, and training resources.
- Competitive salary and benefits.
- A supportive environment that encourages continuous learning and experimentation.
- London, NW18AH: reliably commute or plan to relocate before starting work (preferred)
- Request you to mention your visa type.
- We must fill this position urgently. Can you start immediately?
- Master's (preferred)
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