Graduate Junior Data Scientist

About the Role

Our client is actively seeking a bright and analytical Graduate Junior Data Scientist to join their innovative hybrid team in Oxford . This role is a prime opportunity for recent graduates to dive into the world of data science, applying advanced statistical and machine learning techniques to solve complex business problems. You will work with large datasets, develop predictive models, and contribute to data-driven insights that shape strategic decisions. This hybrid role offers the perfect blend of in-office collaboration and remote flexibility, fostering growth within Oxfordshire's rich academic and technological ecosystem.

Key Responsibilities

• Collect, clean, and preprocess diverse datasets for analysis.
• Develop, train, and evaluate machine learning models to address business challenges.
• Perform statistical analysis and interpret complex data to derive actionable insights.
• Visualize data and present findings clearly to both technical and non-technical audiences.
• Collaborate with engineering and product teams on data-related projects.
• Stay abreast of the latest advancements in data science and machine learning.

Requirements

• A degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of statistical modeling and machine learning algorithms.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, Pandas).
• Experience with SQL and database technologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Good communication skills for presenting technical concepts.

Benefits

• Competitive starting salary with regular reviews.
• Hybrid working model offering work-life balance.
• Extensive training and mentorship from senior data scientists.
• Opportunities to work on cutting-edge data science projects.
• A dynamic and research-oriented work culture.