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Job Title: Junior Python Developer/ Jr Data Scientist (Machine Learning & Python)
Location: London
Salary : 35-45K
Employment Type: Full-Time
About the Role
We are looking for a motivated and detail-oriented Junior Data Scientist with a strong foundation in Machine Learning and Python programming. As part of our Data Science team, you will assist in developing and deploying data-driven solutions that help shape business strategy and improve decision-making. This role is ideal for someone who enjoys solving problems with data and is eager to learn from experienced data professionals.
Key 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.
Required Qualifications
* Master’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.
What We Offer
* 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.