Description
Being lead by one of the top Women in Data, and working for a leading FMCG brand you will be joining their new center of excellence based in central London. This team is newly hired and will see you working with the wider data and E-commerce team you will be pivotal in driving innovation.
This role is career defining you will have input into technologies and help to lay a strong data foundation to build on top of.
Your will be responsible for modelling complex business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques; contribute to building and developing the organization's data infrastructure and support the senior leadership with insights, management reports, and analysis for decision-making processes; develop Machine Learning models to deliver use cases and act as business translator, defining guidelines for data management throughout the Organization. The role will strongly benefit from someone with experience in marketing modelling and consumer insights.
Key Accountabilities
- Develop data science products and solutions, adopting Machine Learning models should to deliver use cases.
- Focus on data science modelling alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data.
- Create features to reproduce business expertise for mode learning.
- Apply software engineering best practices and optimize code for model development and scale.
- Validate model performance, ensuring all designed processes preserve data and are aligned with initial predefined goals of models.
- Craft big data and batch/real-time analytical solutions leveraging emerging technologies, as well as collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms.
- Act as business translator, transforming complex functional and technical requirements into detailed architecture, design, and high performing software.
Qualifications & Requirements
- Qualified in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics or a related field.
- 3+ years of experience as Data Scientist.
- Up-to-date knowledge of machine learning and data analytics tools and techniques.
- Strong knowledge in predictive modeling methodology.
- Experienced at leveraging both structured and unstructured data sources.
- Experienced in R, Python and SQL.
- Good understanding of common python libraries such as Pandas, NumPy and TensorFlow is preferred.
- Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields.
- Preferred experience in industry data science (e.g., machine learning, predictive maintenance).
- Attitude to thrive in an accelerated environment.
- Continuous process improvement mindset.
- Capable of prioritizing and handling multiple projects simultaneously, under tight timelines.
- Motivated, energetic self-starter with strong problem-solving skills and strong ability to work through ambiguity.
- International mindset and cross cultural competence.
- Fluent in English both spoken and written.