Responsibilities

Responsibilities will focus on solution innovation and insights development, including:

• Building, maintaining and enhancing existing NLP analytics tools used in our delivery processes
• Working with our Consulting D&A Lead to innovate and deliver new tools (for use internally or externally) that enable data exploration and/or deliver new insights to our clients as part of our consulting solutions.
• Stay conversant in new analytic technologies, architectures and languages – where necessary – for storing, processing and manipulating data
• Develop a flair for the exploratory and experimental side of the role; required to tease out interesting and previously unknown insights in vast pools of data
• Work collaboratively with other members of the data and analytics, consulting and technology teams to support the development of deeper analytics capabilities across the business globally

Technical Skills

Must Have:

• Proficient in analytical programming, including Python and SQL.
• Proficient understanding of natural language processing (NLP), including knowledge of pre-trained models (e.g., BERT, VADER, RoBERTa, etc.).
• Expertise in statistical analysis, including: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans, Clustering).
• Experience building and deploying predictive models
• Experience with visualization tools such as Tableau, Qlikview or PowerBI, including some experience of server set-up.
• Focus on strategy, design and execution of data-centric business problems, and in the process create unique analytical solutions comprising Big Data management supported by advanced analytical techniques (e.g., R, machine learning, neural networks, A/B testing, etc)

Preferred:

• Knowledge of SQL Server or other relational database management systems.
• Proficiency in programming in R
• AWS, Azure or other cloud infrastructure experience preferable.
• Preferred experience with web-scrapping

Soft Skills

• Curiosity and ability to learn
• Experience in taking a consulting approach to project delivery
• Experience of dealing with multiple stakeholders (internal and external) from both a technical and non-technical background and the ability to communicate effectively with each audience
• Creative problem-solving ability, working in ambiguous situations
• High degree of personal motivation and ability to self-manage