Associate Data Scientist

Role Brief

Associate Data Scientist – Data Science Team, Reading or London.

Responsibilities

• Explore and extract data from multiple sources to generate meaningful insights.
• Work on a broad range of client projects in marketing and market research.
• Develop data pipelines to clean data and create features for analytics and data science projects.
• Research, develop, and test supervised and unsupervised learning models under guidance of senior team members.
• Use Python and SQL for reporting and analysis on our AWS data platform.
• Collaborate with the India-based Data Engineering team and Sales/Market Research teams in the US and UK.

Qualifications

• 1-2 years of experience in data science or related field.
• Must understand the why behind data and how to dig into it.
• Experience applying a few machine learning algorithms to real client problems and data.
• Strong skills in cleaning and transforming data for ML models.
• Self-directed ability to address common causes of poor model performance.
• Familiarity with common algorithms such as linear regression, logistic regression, decision trees, k-nearest neighbours and experience with scikit-learn or TensorFlow.
• Bachelor’s degree in Applied Mathematics, Psychology, Sociology, Statistics, Economics, Engineering, Computer Science, etc. Master’s or higher is a plus.
• Proficiency with SQL, Python and Pandas.
• Ability to write Python code that builds, executes and tests algorithms and models.
• Understanding of business problems, drawing conclusions from data and recommending actions.
• Strong communication skills and ability to document requirements and collaborate with team members.
• Experience with TV viewing data, TV industry or Media Industry is a plus but not required.
• Curiosity about data and enjoyment building data visualisations that clearly convey insights.

Benefits

• 29 days annual leave plus Bank Holidays.
• Flextime with core hours 10 am-3 pm.
• Two days work-from-home per week.
• 4% pension match.
• Enhanced maternity pay.
• Professional development, including LinkedIn Learning.
• Regular social events in both UK locations.

#J-18808-Ljbffr…