Data Scientist
- Data wrangling, extraction, and pre-processing in SQL or Python
- Conducting exploratory data analysis and communicating insights through clear descriptions and visualizations in Tableau or PowerBI
- Developing, testing, and implementing Machine Learning models
- Conducting research on recent developments in Machine Learning and AI, with a focus on topics related to pricing, sales, and marketing
- Being a topic expert on Machine Learning and AI for your project team, enabling strong project planning and team performance
- Degree in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience
- 2+ years work experience in data science, working in a commercial setting or in consulting
- Experience with Machine Learning and statistical modelling techniques
- Strong programming skills in R and/or Python
- Experience applying advanced analytics and Machine Learning to solve business problems
- Experience with data visualization software / libraries (Tableau, PowerBI)
- Comfort working both on a team and autonomously
- Strong written and verbal communication skills, ability to simply and concisely explain complex analytical topics
- Entrepreneurial spirit-we are a fast-growing team with vast opportunities for growth
- Implementation experience with Machine Learning models and applications
- Knowledge of cloud-based Machine Learning engines (AWS, Azure, Google, etc.)
- Experience with large scale data processing tools (Spark, Hadoop, etc.)
- Ability to query and program databases (SQL, No SQL)
- Experience with distributed ML frameworks (TensorFlow, PyTorch, etc.)
- Familiarity with collaborative software tools (Git, Jira, etc.)
- Experience with user interface libraries / applications (Shiny, Django, etc.)
- Experience in developing ML or statistical models in the field of pricing (e.g. price elasticity modelling) or dynamic pricing
- Domain expertise in pricing, demand forecasting, or time-series data
- Work within a corporate culture defined by our entrepreneurial spirit, openness, and integrity
- Broaden your perspective with our extensive training curriculum and learning opportunities
- Push your development with support from our holistic feedback and development processes
- Hybrid work, mixing your work location between our London office, client sites, and the option to remote work for an element of your time
- Enjoy our range of benefits and our focus on your wellbeing
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