- Work on complex and extremely varied data sets from some of the world's largest organizations to solve real world problems
- Develop data science products and solutions for clients as well as for our data science team
- Write highly optimized code to advance our internal Data Science Toolbox
- Work in a multi-disciplinary environment with specialists in machine learning engineering and design
- Add real-world impact to your academic expertise, as you are encouraged to write 'black' papers and present at meetings and conferences should you wish
- Attend conferences such as NEURIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers
- Work within one of the largest and most advanced data science teams in London, support the lead data scientists to develop data science products
- How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines
- Build products alongside the core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations
- Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data
- Best practices in software development and productionize machine learning by working with our machine learning Engineering teams which optimize code for model development and scale it
- Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizations
- Using new technologies and problem-solving skills in a multicultural and creative environment
- Bachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics or engineering
- Programming experience; Python is essential, other languages (e.g. R and SQL) are beneficial
- Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
- A methodical yet creative problem solver
- Experience in applying data science and machine learning methods to business/real world problems
- Fluency in Japanese (JLPT N1 level or equivalent for non-native Japanese speakers) and business level English
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