Senior Data Scientist - London

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From £60000 To £70000 Depending On Experience

Senior Data Scientist

Salary From £60,000 To £70,000 Depending On Experience

Permanent

Hybrid / London

Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are keen to make one more hire to our growing team. You will be joining a high performing in-house Data Science team that specifically focusses on Marketing domain models.

Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques.

You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market.

We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it’ll be with a real purpose in mind – to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter.

• 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.

Working as a Senior Data Scientist at Saga, you will need to demonstrate the following skills and experience:

• 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

Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special

At Saga we recognise that our people make us special. We have put together an amazing benefits package for all colleagues.

• 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

Over the past 70 years we have become the UK\'s specialist provider of products and services to people aged over 50 in the UK. The Saga brand is recognised for high quality products and exceptional service across cruises, holidays, insurance, personal finance and Saga Magazine. Saga is committed to equal opportunity and age inclusivity. We are an official Disability Confident Committed employer and will make reasonable adjustments as required. For more information, please visit our Saga Careers page.

Job Reference: saga/TP/205960/3312

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Technology, Information and Internet

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