Job Description | Junior Data Scientist

About the Role

We are looking for a motivated Junior Data Scientist to join a growing data team focused on transforming large volumes of data into actionable insights. This is an excellent opportunity for someone with a strong quantitative background who enjoys solving complex problems using statistical methods, machine learning, and programming.

You will work closely with cross-functional teams to develop analytical models, identify business opportunities through data, and contribute to data-driven decision-making.

Key Responsibilities

- Analyze and interpret large and complex datasets to identify trends, patterns, and business opportunities.
- Develop, validate, and optimize statistical and machine learning models.
- Apply advanced analytical techniques, including multivariate statistics, predictive modeling, and network analysis.
- Clean, transform, and prepare structured and unstructured data for analysis.
- Build reproducible analytical workflows using Python and/or R.
- Collaborate with business and technical stakeholders to understand requirements and translate them into analytical solutions.
- Present findings and recommendations through clear visualizations and reports.
- Contribute to the continuous improvement of analytical methodologies and best practices.

Required Qualifications

- Bachelor's Degree in Mathematics, Statistics , or a related quantitative discipline such as Physics, Engineering , or another field with a strong mathematical and statistical foundation.
- Ideally,



a Master's Degree in Data Science , Machine Learning, Artificial Intelligence, Statistics, or a related field.
- 1 to 2 years of experience working on analytical or data science projects.
- Strong understanding of statistical methodologies, including multivariate analysis, predictive modeling, machine learning, and network analysis.
- Experience working with large datasets and performing data preparation, transformation, and analysis.
- Strong programming skills in Python and/or R .
- Good knowledge of SQL for data extraction and manipulation.
- Excellent analytical thinking and problem-solving skills.
- Strong communication skills with the ability to explain technical concepts to non-technical audiences.
- Professional proficiency in English.

Nice to Have

- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Experience with big data technologies such as Spark or Hadoop.
- Familiarity with data visualization tools such as Power BI, Tableau, or Matplotlib.
- Knowledge of version control using Git.

What We're Looking For

- Curious and data-driven mindset.
- Passion for statistics, machine learning, and solving real-world problems.
- Strong attention to detail and analytical thinking.
- Ability to work collaboratively in multidisciplinary teams.
- Eagerness to learn new technologies and continuously develop technical skills.
- Proactive attitude and ownership of assigned tasks.

📌 Junior Data Scientist (Madrid)
🏢 Lawrence Harvey
📍 Madrid