At a Glance
- Tasks: Lead analytical projects to enhance customer insights and drive business performance.
- Company: Join Lloyds Banking Group, a leader in transforming finance for good.
- Benefits: Competitive salary, extensive benefits, hybrid working, and career development opportunities.
- Other info: Inclusive culture focused on diversity and personal growth.
- Why this job: Make a real impact on financial services while working with cutting-edge data analytics.
- Qualifications: Numerate degree, strong programming skills in Python and SQL, and analytical project experience.
The predicted salary is between 60000 - 72000 ÂŁ per year.
**Salary Range** ÂŁ72,702 - ÂŁ80,780
**Flexible Working Options** Hybrid Working, Job Share
**Job Description Summary**
This role sits within the newly formed Customer Analytics and Insight team, supporting decision making across the Insurance, Pensions and Investments business. You will use advanced analytics to deepen our understanding of customer behaviour, and to drive commercial outcomes across Scottish Widows and the wider Group. You will lead the delivery of analytical and modelling projects from start to finish. This includes building data products, developing clear insight stories, and shaping recommendations to improve commercial performance.
**What youâll do**
- Embody a proactive approach to insight generation, using our data to seek answers and opportunities.
- Design, deliver and monitor modelling solutions to enable communications, pricing, and reward optimisations.
- Apply a practical approach to experimentation - keeping solutions simple, explainable and production ready.
- Build and maintain wellâstructured datasets to support self-serve analytics and lifetime value modelling.
- Work collaboratively with Data, Finance, & Optimisation teams to unlock insights that drive our engagement, retention, and growth objectives.
- Bring analysis to life through compelling narratives, combining quantitative evidence with commercial context to inform strategic decisions across Lloyds Wealth and Scottish Widows.
- Support the development of analysts and junior data scientists through code reviews, technical guidance and coaching.
**What weâll need**
**Essential**
- A numerate degree or equivalent experience, with strong confidence working with data and applied knowledge of a range of statistical modelling techniques.
- Strong programming skills in Python and SQL, including experience with common analytical libraries and data science methodologies.
- Good commercial awareness, with the ability to frame ambiguous problems and connect analytics to business decisions.
- A proactive mindset, with a track record of planning and delivering complex analytical projects independently.
- Clear communication skills, including the ability to develop and influence crossâfunctional relationships.
**Desirable**
- Familiarity with Insurance, Pensions and Investments data and customer metrics.
- Experience working with engineering teams to build model pipelines.
- Experience coaching or mentoring junior data scientists.
**About working for us**
Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups. We are disability confident. So, if you would like reasonable adjustments to be made to our recruitment processes, just let us know.
So, if you are excited by the thought of becoming part of our team, get in touch. We would love to hear from you!
**At Lloyds Banking Group, weâre driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us youâll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means youâll have many opportunities to learn, grow and develop.**
We keep your data safe. So, weâll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. Weâll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
Weâre focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together weâre building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
With 320 years under our belt, weâre used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, youâll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Senior Data Scientist, Customer Analytics in Edinburgh employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Scientist, Customer Analytics in Edinburgh
â¨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for your application. Personal connections can give you an edge!
â¨Tip Number 2
Prepare for the interview by practising common data science questions. Think about how you can relate your past projects to the role of Senior Data Scientist. We want to see your problem-solving skills in action!
â¨Tip Number 3
Show off your analytical skills during the interview! Bring examples of your work, like models or insights you've generated. This will help us see your thought process and how you tackle complex problems.
â¨Tip Number 4
Donât forget to follow up after your interview! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in our minds as we make decisions.
We think you need these skills to ace Senior Data Scientist, Customer Analytics in Edinburgh
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, SQL, and any relevant statistical modelling techniques. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for customer analytics and how you've used data to drive commercial outcomes in the past. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any analytical projects, make sure to mention them! Describe your role, the tools you used, and the impact of your work. We love seeing real-world applications of your skills.
Apply Through Our Website: Don't forget to apply through our website! Itâs the best way to ensure your application gets to us directly. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Lloyds Bank plc
â¨Know Your Data Inside Out
As a Senior Data Scientist, you'll need to demonstrate your strong confidence in working with data. Brush up on your statistical modelling techniques and be ready to discuss how you've applied them in previous roles. Prepare examples that showcase your ability to connect analytics to business decisions.
â¨Show Off Your Programming Skills
Make sure you're comfortable with Python and SQL, as these are essential for the role. Be prepared to talk about specific projects where you've used common analytical libraries. If possible, bring along a portfolio of your work or code snippets to illustrate your expertise.
â¨Communicate Clearly and Effectively
Youâll need to develop compelling narratives from your analysis. Practice explaining complex concepts in simple terms, as this will be crucial when influencing cross-functional relationships. Think of ways to present your insights that combine quantitative evidence with commercial context.
â¨Emphasise Your Proactive Mindset
The role requires a proactive approach to insight generation. Prepare to discuss how you've independently planned and delivered complex analytical projects in the past. Highlight any experience you have in coaching or mentoring junior data scientists, as this will show your leadership potential.