Senior Data Scientist

Senior Data Scientist

London Full-Time 47000 - 55000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead advanced analytics projects and extract insights from complex datasets.
  • Company: Saga specializes in services for those aged 50+, delivering exceptional experiences for over 70 years.
  • Benefits: Enjoy 25 days holiday, a pension scheme, and discounts on cruises and holidays.
  • Why this job: Join a high-performing team and shape data strategy while working with top industry leaders.
  • Qualifications: Experience in data science, strong programming skills, and expertise in machine learning required.
  • Other info: Hybrid work model with regular team meet-ups in London and Kent.

The predicted salary is between 47000 - 55000 £ per year.

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! Our Data Science team meet in London once a week and then in Kent once a quarter.

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:

  1. 25 days holiday + bank holidays
  2. Option to purchase additional leave up to 5 extra days
  3. Pension scheme matched up to 10%
  4. Company performance related annual bonus – Up to 5%
  5. Life assurance policy on joining us
  6. Wellbeing programme
  7. Colleague discounts including family discounts on cruises and holidays
  8. Range of reductions and offers from leading retailers, travel groups and entertainment companies
  9. Enhanced maternity and paternity leave
  10. Grandparents leave
  11. Income protection
  12. Access to Saga Academy, our bespoke learning platform

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

  1. Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems.
  2. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making.
  3. 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.
  4. Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company’s data strategy.
  5. Project Management: Manage and deliver projects on time, to high standards.
  6. Agile ways of working: Demonstrate experience in working in an agile environment.
  7. Continuous learning: Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning.

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

  1. Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery.
  2. Can demonstrate strong programming skills in languages such as Python or SQL.
  3. Be seen as an expert in machine learning, statistical modelling and data analysis.
  4. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
  5. Experience with big data technologies and cloud platforms, ideally Azure.
  6. A curious nature, with the drive to learn and master new tech and methods.

Desirable:

  1. Previously worked in an agile working environment.
  2. Have worked with data visualisation tools e.g. Tableau.
  3. Experience in model monitoring.
  4. Have gained a master’s 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.

Recruitment Process:

  1. Pre-screen call with a member of the TA Team
  2. Technical Python and SQL Task
  3. TEAMS Interview – Technical and competency
  4. Final meeting with our Director of Data Analytics and Decision Science

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. Our focus on delivering exceptional experiences empowers our colleagues to create moments that are simple, personal and special for our customers and for each other.

Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team.

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Senior Data Scientist employer: The Sterling Group

At Saga, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Senior Data Scientist, you'll not only have access to cutting-edge analytical tools but also enjoy a comprehensive benefits package, including generous holiday allowances and opportunities for professional growth through our Saga Academy. Join us in London and be part of a team that values your contributions and celebrates success together!
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Contact Detail:

The Sterling Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

✨Tip Number 1

Familiarize yourself with the latest trends in data science and machine learning. This will not only help you during the interview but also show your passion for continuous learning, which is highly valued at Saga.

✨Tip Number 2

Prepare to discuss specific projects where you've successfully implemented advanced analytics solutions. Be ready to explain your thought process and the impact of your work on business outcomes.

✨Tip Number 3

Highlight your experience in agile environments. Saga values collaboration and project management skills, so be prepared to share examples of how you've worked effectively in teams.

✨Tip Number 4

Showcase your programming skills, particularly in Python and SQL. You might be asked to solve technical problems during the interview, so practice coding challenges to sharpen your skills.

We think you need these skills to ace Senior Data Scientist

Machine Learning
Statistical Modelling
Data Analysis
Python Programming
SQL Programming
Big Data Technologies
Cloud Platforms (Azure)
Data Visualization Tools (e.g. Tableau)
Project Management
Agile Methodologies
Communication Skills
Collaboration with Stakeholders
Continuous Learning
Problem-Solving Skills
Data Strategy Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in advanced analytics and machine learning. Use specific examples that demonstrate your ability to deliver independent projects in a data-rich environment.

Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role at Saga and how your skills align with their values. Mention your experience with programming languages like Python or SQL and your familiarity with big data technologies.

Showcase Your Communication Skills: Since the role requires conveying complex technical concepts to various stakeholders, include examples in your application that demonstrate your ability to communicate effectively with both technical and non-technical audiences.

Prepare for Technical Assessments: Be ready to showcase your technical skills through the Python and SQL task mentioned in the recruitment process. Brush up on your coding skills and be prepared to discuss your approach to problem-solving in data science.

How to prepare for a job interview at The Sterling Group

✨Showcase Your Technical Skills

Be prepared to discuss your programming skills in Python and SQL. Bring examples of past projects where you implemented machine learning algorithms or statistical models, as this will demonstrate your expertise and problem-solving abilities.

✨Communicate Clearly

Practice explaining complex technical concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to convey your ideas clearly is crucial for collaboration.

✨Demonstrate Your Curiosity

Express your eagerness to learn about new technologies and methods in data science. Share any recent trends or tools you've explored, as this shows your commitment to continuous learning and staying updated in the field.

✨Prepare for Agile Discussions

Since the role involves working in an agile environment, be ready to discuss your experience with agile methodologies. Highlight any projects where you successfully collaborated with cross-functional teams to deliver results on time.

Senior Data Scientist
The Sterling Group
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  • Senior Data Scientist

    London
    Full-Time
    47000 - 55000 £ / year (est.)

    Application deadline: 2027-02-28

  • T

    The Sterling Group

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