Skills

Python Data Analysis SQL Data Cleaning Version Control Problem-solving Decision-making Training Machine Learning PyTorch Scikit-Learn TensorFlow Deep Learning Regression Programming git Azure AWS cloud platforms Numpy Pandas Analytics Analytical Thinking GCP Data Science python programming Matplotlib seaborn Mathematics

Job Specifications

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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.