Senior Data Scientist
Salary from £55,000 to £65,000 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.
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!
Package DescriptionEveryday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues.
BENEFITS AVAILABLE TO ALL COLLEAGUES:
25 days holiday + bank holidays
Option to purchase additional leave up to 5 extra days
Pension scheme matched up to 10%
Company performance related annual bonus - Up to 5%
Life assurance policy on joining us
Wellbeing programme
Colleague discounts including family discounts on cruises and holidays
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
Main ResponsibilitiesOur Senior Data Scientist will be fully accountable for the following areas;
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.
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.
The Ideal CandidateWorking 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 strong programming skills in languages such as Python or R. SQL also necessary to leverage old code base.
Be seen as an 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.
Experience with big data technologies and cloud platforms, ideally Azure.
A curious nature, with the drive to learn and master new tech and methods.
Desirable;
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 or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines.
Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day,
Our People Make Us Special
About The CompanyOver 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 has become one of the most recognised and trusted brands amongst UK consumers in this demographic, recognised for its high-quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance and publishing.
We are a dynamic and forward-looking business with a clear, single-minded purpose; to create exceptional experiences every day whilst being a driver for positive change in our markets and communities. Our focus on exceptional experiences empowers our colleagues to create moments that are simple, personal and special for our customers and for each other. Our values underpin our approach and help guide us to deliver our purpose.
At Saga, we are committed to treating all colleagues fairly and to offering equal opportunities in all aspects of employment and advancement. We value diversity not just because it is the right thing to do, but because diverse teams perform better.
We’re passionate about diversity, equity, inclusion and belonging. Championing diversity is important to us, and diverse teams really are the best ones. We’re dedicated to creating a culture where every colleague feels like they belong. So that at Saga, more than anywhere else, you can be your best, be yourself and make a difference.
Fair consideration is given to all applicants, including those with disabilities and those over who are over the age of 50. As champions of age inclusivity and signatories of the Age-Friendly Employer Pledge, we are proud of our multigenerational teams. We are also an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible, we will make reasonable adjustments as required. For more information on our DEI&B policies please visit our Saga Careers page.
Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, colleagues or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.
#LI-KF1
