Python Developer

Information Tech Consultants; Greater London; On-site; GBP 35,000 - 45,000; Full time

Benefits offered by this job

Mentorship from experienced data teams

Real-world ML projects

Access to tools, datasets, and培训

Competitive salary and benefits

Continuous learning and exploration

Job summary

Information Tech Consultants in London is seeking a motivated Junior Data Scientist with a strong foundation in Python and machine learning. You will assist in developing data-driven solutions, performing data cleaning, EDA, and building automated pipelines under guidance from senior data scientists.

The role offers mentorship, hands-on ML project experience, and exposure to modern tools and cloud platforms. A Master's degree and solid Python data science skills are preferred.

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 (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.

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.

Skills

Python

NumPy

pandas

scikit-learn

Matplotlib

Seaborn

SQL

Jupyter Notebooks

Git

Data querying

Education

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Job Title: Junior Python Developer/ Jr Data Scientist (SQL & 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.