Data Scientist (Applied AI, Go-To-Market, 12 Months Fixed Term)

Join our GTM Applied AI team as a Data Scientist for a 12-month fixed-term contract. You will develop, deploy, and maintain AI/ML models to improve our go-to-market efficiency and enhance our pricing and revenue management strategy. Collaborate with various teams, engage with stakeholders, and work with leading data engineering technologies. Enjoy a range of benefits, including maternity and paternity pay, a train travel scheme, and opportunities for career development.

• Collaborate with cross-functional teams to develop, deploy, and maintain AI/ML models that improve go-to-market efficiency and enhance pricing strategies.
• Engage with stakeholders to translate business requirements into Data Science deliverables, and clearly articulate the impact of your work.
• Identify new pricing and monetization opportunities based on data, interpreting model outcomes, and share insights to drive the direction of business goals.
• To succeed in this role, you should have proven experience in developing and deploying AI/ML models to enhance commercial practices
• The ability to develop AI/ML solutions, engage stakeholders, and clearly articulate the impact of your work is necessary for this role
• Experience putting solutions into production within an interdisciplinary team is a big plus, and it will be ideal if you also have experience using AI and ML to solve pricing and revenue management problems
• You must have an adaptable commercial mindset and knowledge of the interface between data science and engineering
• You have a solid technical background, with hands-on ability in all stages of data preparation, exploration, and modeling
• Proven technical experience in a Data Science role, particularly in the technology sector or in a technical consultancy
• Great communication skills - both with technical colleagues and with business stakeholders
• Experience with analytical and quantitative problem solving using advanced statistical techniques and machine learning methods, e.g. Attribution, Segmentation, Churn, Upgrade, Upsell, Pricing Optimisation, and LTV
• Ability in Python and SQL for data manipulation, modelling, and scripting
• Knowledge of data pipelining and prior experience with cloud-based ML model deployments are beneficial
• Experience in building and deploying production-ready ML models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant)
• You have experience working with large datasets. Knowledge of the data generated by websites or in the e-commerce sector, behavioral analytics, and experience working with data from commercial systems (e.g. Salesforce) is advantageous
• We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you!