Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
Learning & development – Training to support your career development and the skills demand within the company, certifications etc.
Your Profile
We’d love to meet someone with:
- Experience in working within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.
- Keen to demonstrate the potential that Gen AI has to offer to unlock business value.
- A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data.
- Currently working in a major Consulting firm, and/or in industry but having a Consulting background with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
- Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau.
What you'll love about working here:
Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle:
Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can