Senior Data Scientist, ClearScore

• A self-starter mindset: curious, collaborative, and committed to continuous learning - including the adoption of new tools as they emerge
• A desire to deeply understand a problem and its importance to the business before attempting to solve it, and being comfortable proactively seeking that context rather than waiting for it
• A strong ability to think critically about, and reason concisely with, data. A drive to understand our users, products, and how users interact with them, and to build an advanced knowledge of our data assets and how these connect to our users’ financial wellbeing through the product experience
• Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models get deployed and maintained effectively in a production environment
• Demonstrable experience of using business-domain knowledge to drive model development or derive insights from data
• The ability to explain the key findings from complex analysis and modelling exercises to both technical and non-technical audiences. You feel at home interacting with stakeholders from across different specialisms around the organisation

Desirable

• We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore
• Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams across the organisation
• We are seeking a proactive, outcomes-oriented individual, ready to take on broad ownership of a range of initiatives, to join our growing Global Targeting team
• Working to enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets
• Your contributions will directly support the Global Targeting mission, enabling the organisation to realise its overall strategy
• Leading the end-to-end development of data science and machine learning solutions - from business concept through to impact evaluation - to enable a better user experience through data-driven Targeting
• Working closely with cross-functional stakeholders to shape how Data Science and the broader Targeting initiative can effectively support business needs to drive maximum impact
• Helping to set the quality bar for what we put into production: scrutinising data, features and model behaviour, and surfacing problems in our data and processes before they reach our users
• Identifying and implementing improvements and optimisations in our model development and management processes, driving more efficient and standardised ways of working, leading by example in what you deliver
• Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see
• Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business