Senior Data Scientist- Hybrid (Permanent)
Senior Data Scientist- Hybrid (Permanent)

Senior Data Scientist- Hybrid (Permanent)

London Full-Time 60000 - 70000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data-driven projects, develop machine learning models, and collaborate with teams to enhance business strategies.
  • Company: Saga is a trusted UK brand specialising in services for those aged over 50, known for quality and service.
  • Benefits: Enjoy 25 days holiday, pension matching, performance bonuses, and discounts on cruises and holidays.
  • Why this job: Join a dynamic team, work with cutting-edge technology, and make a real impact in a supportive culture.
  • Qualifications: Experience in data science, strong programming skills in Python and SQL, and a master's in a quantitative field.
  • Other info: Hybrid working model with regular team meet-ups in London and Kent.

The predicted salary is between 60000 - 70000 £ per year.

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. You will be joining a high performing in-house Data Science team that specifically focuses on Marketing domain models.

Working 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 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
  • 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.
  • Work closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications.
  • 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.
  • Manage and deliver projects on time, to high standards.
  • Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities.
  • Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning.
The Ideal Candidate
  • Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery.
  • Must be able to demonstrate strong programming skills in languages such as Python and SQL.
  • Credible expert in machine learning, statistical modelling 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.
  • 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.
  • Have gained a master’s in a quantitative field such as Computer Science, Statistics or related disciplines.

We believe exceptional work deserves even more exceptional rewards, that’s why we have put together an amazing benefits package for 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

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 recognised and trusted brands amongst UK consumers in this demographic, recognised for its high quality products and exceptional standards of service.

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.

Senior Data Scientist- Hybrid (Permanent) employer: Saga

Saga is an exceptional employer, offering a dynamic hybrid work environment in London that fosters collaboration and innovation within a high-performing Data Science team. With a robust benefits package including generous holiday allowances, a matched pension scheme, and a commitment to employee wellbeing, Saga prioritises the growth and development of its staff while championing diversity and inclusivity. Join us to be part of a meaningful data transformation journey that not only shapes our business but also enhances your career in a supportive and rewarding atmosphere.
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Contact Detail:

Saga Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist- Hybrid (Permanent)

✨Tip Number 1

Familiarise yourself with the latest machine learning algorithms and statistical models relevant to the marketing domain. This will not only help you in technical discussions but also demonstrate your proactive approach to staying updated in the field.

✨Tip Number 2

Prepare to discuss your experience with big data technologies and cloud platforms, particularly Azure. Be ready to share specific examples of how you've used these tools to solve complex business problems in previous roles.

✨Tip Number 3

Practice explaining complex technical concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to communicate effectively is crucial for success in this role.

✨Tip Number 4

Showcase your project management skills by preparing examples of past projects where you delivered results on time and to high standards. Highlight your experience in agile environments, as this aligns with the company's working style.

We think you need these skills to ace Senior Data Scientist- Hybrid (Permanent)

Machine Learning
Statistical Modelling
Data Analysis
Python Programming
SQL Proficiency
Data Visualisation (e.g. Tableau)
Big Data Technologies
Cloud Platforms (ideally Azure)
Project Management
Agile Methodologies
Communication Skills
Model Monitoring
Collaboration with Cross-Functional Teams
Understanding of Data Strategy and Governance
Continuous Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in machine learning and statistical modelling. Use keywords from the job description to demonstrate that you meet the specific requirements of the Senior Data Scientist role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of Saga's business model. Mention how your skills can contribute to their data transformation journey and provide examples of past projects that align with their needs.

Showcase Technical Skills: In your application, emphasise your programming skills in Python and SQL, as well as your experience with big data technologies and cloud platforms like Azure. Be specific about the tools and techniques you've used in previous roles.

Prepare for Interviews: Anticipate the types of questions you might face during the pre-screen call and technical interviews. Be ready to discuss your project management experience, agile methodologies, and how you've communicated complex concepts to non-technical stakeholders.

How to prepare for a job interview at Saga

✨Showcase Your Technical Skills

As a Senior Data Scientist, you'll need to demonstrate your expertise in programming languages like Python and SQL. Be prepared to discuss specific projects where you've applied machine learning and statistical techniques, and consider bringing examples of your work to the interview.

✨Communicate Clearly

You'll be working with both technical and non-technical stakeholders, so it's crucial to convey complex concepts in an understandable way. Practice explaining your past projects and their impact on business outcomes, focusing on how you can provide actionable insights.

✨Understand the Company’s Data Strategy

Familiarise yourself with Saga's data transformation journey and their focus on marketing domain models. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their data strategy.

✨Prepare for the Technical Task

Expect a technical task during the interview process. Brush up on your SQL skills and be ready to present your findings clearly. Practising common data science problems and solutions can give you an edge in this part of the interview.

Senior Data Scientist- Hybrid (Permanent)
Saga
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  • Senior Data Scientist- Hybrid (Permanent)

    London
    Full-Time
    60000 - 70000 £ / year (est.)

    Application deadline: 2027-05-19

  • S

    Saga

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