Associate Data Scientist

Overview

In this role you will help turn data into insights that support scientific and business decisions. You start by assisting ongoing projects and will take ownership of a project after six months. You apply machine learning and statistics to real-world challenges, collaborating with data engineers, scientists, and stakeholders. You will communicate findings and contribute to deploying and monitoring data science solutions, in a Cambridge on-site setting.

Pay / Benefits

• comprehensive benefit programs
• healthcare program
• professional development opportunities
• paid time off

Responsibilities

• Explore, clean, and transform datasets from multiple sources
• Apply statistical and ML techniques to solve business problems
• Collaborate with stakeholders to translate requirements into defined problems
• Communicate findings via visualisations, presentations, and written recommendations
• Support deployment, monitoring, and continuous improvement of data science solutions

Key requirements

• Bachelor’s or Master’s degree in a quantitative subject
• Proficiency in Python
• Familiarity with machine learning concepts (supervised and unsupervised)
• Strong analytical, problem-solving, and critical-thinking skills
• Excellent communication skills to explain technical concepts to non-technical audiences

• excellent communication
• problem-solving
• collaboration
• Python
• machine learning concepts (supervised and unsupervised)
• data transformation and exploration

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