National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist - London

Saga
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (GenAI)

Senior Data Scientist - Consumer Lending

Senior Data Scientist

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.

Role Responsibility

Our Senior Data Scientist will be fully accountable for the following areas; 

<ul no-style=\"margin-left:44px;margin-top:0px;margin-bottom:10px;\">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.The Ideal Candidate

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

<ul no-style=\"margin-left:44px;margin-top:0px;margin-bottom:10px;\">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.

Desirable; 

<ul no-style=\"margin-left:44px;margin-top:0px;margin-bottom:10px;\">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.

Recruitment Process:

  1. Pre-screen call with the Head of Data Science.  
  2. Technical Python Task
  3. TEAMS Interview – Present the Technical Task, competency, live SQL
  4. Final meeting with our Director of Data Analytics and Decision Science

Package Description

Everyday 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:

<ul no-style=\"list-style-type:disc;margin:10px 0px 15px 20px;padding:0px 0px 0px 20px;\">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 platformAbout 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 the Saga Magazine.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.Fair consideration is given to applications from all applicants, including those with disabilities and those over who are over 50 as we are champions of age inclusivity. We are an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible and 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.Job Reference:saga/TP/135599/3246

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.