Hybrid with occasional visits into the London OfficeHere 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 now ready to build a high-performing Data Science team around our newly appointed Head of Data Science.As one of our Senior Data Scientists 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 organization 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.Remote working with a hybrid approach : occasionally, you will be required to attend some team days and business meetings in our Saga hub located in London - Kings Cross. You will need to be within a reasonable commuting distance to undertake this role.Package Description:Every day 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.Our working week is 35 hours per week, these can be worked flexibly to suit your working style.25 days holiday + bank holidays.Option to purchase additional leave up to 5 extra days.Pension scheme matched up to 10%.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.Company performance-related annual bonus - Up to 5%.Income protection.Access to Saga Academy, our bespoke learning platform.Main Responsibilities:Our 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:

Work closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicate 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 Candidate: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 organization, with a track record of independent project delivery.Strong programming skills in languages such as Python or R. SQL is also necessary to leverage the old code base.Expertise in machine learning, statistical modeling, and data analysis.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.Experience with data visualization 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.About The Company: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 has become one of the most recognized and trusted brands amongst UK consumers in this demographic, recognized for its high-quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance, and the Saga Magazine.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 employees 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, and inclusion. 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 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 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, employees, or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.Contact Details:

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.Saga PlcTel: 000 000 0000Contact: Kerry AustinEmail:

#J-18808-Ljbffr