SUMMARY

This role is a junior key contributor in the Data Science Lab, where the candidate will receive the appropriate level of supervision until becoming fully proficient:

• Implement and improve existing scientific papers to reach goals defined by senior colleagues
• Natural Language processing (NLP) is a key part of the role
• This role will lead a range of data analytics efforts, including monitoring and improving the performance of our Natural Language Understanding (NLU) models
• Collaborate with legal technology advisors, business departments, innovation lab, finance team and work in the data science lab
• Creation of new statistical models, research of new solutions and supporting different stakeholders on machine learning and deep learning efforts.
• Creation and implementation of any new research projects and evangelisation of the research and the results across the company.
• Collaboration with research colleagues to develop and maintain software embodying research outputs

KEY RESPONSIBILITIES

The candidate will be responsible for:

• Actively contributing to business analysis during project definitions
• Deep diving into data, doing analysis and discovering patterns and root causes to generate insights that drive our products
• Analyse and evaluate the quality of data used for model training and testing
• Present proposals and results in a clear manner, backed by data, with actionable conclusions to drive business decision to different stakeholders
• Collaborate with scientists and engineers (internal and external) on data collection and feature design effects
• Handle competing requests for a range of data customers (e.g. from LTDA and innovation lab)
• Communicate results to a diverse audience through a wide range of methods including presentation to senior stakeholder
• Evangelise the work done in the Data Science Lab in internal and external speech opportunities
• Build and maintain Data Science products – e.g. web apps for business consumption

SKILLS & EXPERIENCE

• Willing to learn new skills, programming languages and development processes
• Previous experience with analysing and quantifying data from public and private repositories
• Experience with descriptive statistics and visualization tools
• Experience with Natural Language Processing (NLP)
• Experience with deep learning models for NLP
• Experience in neural networks (including recurrent, convolutional, long short memory)
• Expert in Python, R, Notebook; command line usage (Bash)
• Expert in debugging and investigative programming techniques
• Knowledge of statistical modelling and machine learning techniques
• Experience with data selection methods: identify how to choose which data for which experimental setups
• Excellent communication and organizational skills with significant attention to detail
• Experience with big data tools (Spark, Databricks) and familiarity/experience with Azure technology stack (Blob Storage, Data lake, VMs).
• Experience with parallel data processing
• Experience with Flask / web development would be beneficial
• Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment
• Desirable fluency in a foreign language due to the multi-language nature of the role.

Job Title- Data Scientist