Senior Data Scientist
- Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies.
- Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making.
- Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. From start to finish of every project.
- Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies.
- Project Management - Manage and deliver projects on time, to high standards.
- Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities.
- Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value.
- Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery.
- Can demonstrate previous experience of working in a marketing domain or have the desire and enthusiasm to move into this area.
- Must be able to demonstrate strong programming skills in languages such as Python and SQL. (A technical task will form part of the interview process.)
- Already be a credible expert in machine learning, statistical modelling and data analysis.
- Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders - providing business recommendations within a marketing-based field.
- Experience with big data technologies and cloud platforms, ideally Azure.
- A curious nature, with the drive to learn and master new tech and methods.
- Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery.
- Have worked with data visualisation tools e.g. Tableau.
- Experience in model monitoring. (MLOPS experience would be desirable.)
- Have gained a master's in a quantitative field such as Computer Science, Statistics or related disciplines.
- Pre-screen call with the Head of Data Science.
- Technical Python Task
- In-Person Interview - Present the Technical Task, competency, live SQL
- Final meeting with our Director of Data Analytics and Decision Science
- 25 days holiday + bank holidays
- Option to purchase additional leave - 5 extra days
- Pension scheme matched up to 10%
- Company performance related annual bonus - Up to 5%
- Life assurance policy on joining us, 4 x salary
- Wellbeing programme
- Colleague discounts including family discounts on cruises, holidays and insurance
- Range of reductions and offers from leading retailers, travel groups and entertainment companies
- Enhanced maternity and paternity leave
- Grandparents leave
- Income protection
- Access to Saga Academy, our bespoke learning platform
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