Senior Data Scientist in Bristol

Senior Data Scientist in Bristol

Bristol Full-Time 70929 - 78810 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI projects, improve NLP techniques, and coach junior data scientists.
  • Company: Lloyds Banking Group, committed to diversity and innovation.
  • Benefits: Generous pension, performance bonuses, 30 days holiday, and flexible working options.
  • Other info: Inclusive workplace with excellent career growth opportunities.
  • Why this job: Shape the future of finance with cutting-edge technology and impactful projects.
  • Qualifications: Experience in machine learning, strong communication skills, and proficiency in Python and SQL.

The predicted salary is between 70929 - 78810 £ per year.

Salary Range: £72,702 - £80,780

We support flexible working – click here for more information on flexible working options.

Flexible Working Options: Hybrid Working

Location: Bristol

Hours: Full-time

Working Pattern: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Bristol office.

About this opportunity:

The Consumer Servicing & Engagement (CS&E) Platform delivers a unified digital servicing proposition for personal customers on the device of their choosing, giving the best digital customer experience to increase engagement and options for self-service. We build deeper and more trusted relationships with our customers and support them to improve their financial lives by offering valuable, engaging and human-like digital banking experiences. We grow customer satisfaction and trust through simple, helpful and personalised experiences that they love. We provide and guide customers to complete and easy-to-use self-serve offerings where they can do (almost) everything they want within digital. We deepen valued customer relationships, helping them build financial resilience, by understanding what they need and when.

What you’ll do:

  • Own and continually improve upon our current approaches for solving common AI use cases, focused around NLP – blending traditional NLU techniques with GenAI.
  • Contribute to the data science chapter and help it address more complex problems that require new approaches to be introduced.
  • Deliver proofs-of-concept that demonstrate these new capabilities and how they can deliver value to future projects.
  • Contribute to target production architectures of AI systems.
  • Define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc.
  • Coach and help develop more junior members of the team, including other data scientists, graduates and apprentices.

What you’ll need:

  • Previous experience as a Data Scientist in machine learning.
  • Strong communication skills and the ability to collaborate effectively with other teams.
  • A strong ability to translate data science methods and results for non-technical audiences and to persuade senior business stakeholders of the significance of these results for decision making.
  • Theoretical and applied knowledge of a broad range of statistical modelling and ML techniques focused around NLP – blending traditional NLU techniques with GenAI.
  • A good working knowledge of the latest NLP and LLM techniques.
  • Experience with conversational AI systems and methodologies.
  • Understanding of risks and guardrails for Generative AI applications.
  • Skills in Python and SQL for data science, including how to write modular code, familiarity with the core Python data structures and fluency with pandas and other packages commonly used for data science.
  • Strong ability to coach data scientists in how to use these tools to address particular business problems and to review the code they produce.
  • A pragmatic, "keep it as simple as possible, but no simpler" attitude to your work and designs.

About working for us:

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop. 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. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

We also offer a wide-ranging benefits package, which includes:

  • A generous pension contribution of up to 15%
  • An annual performance-related bonus
  • Share schemes including free shares
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 30 days’ holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

At Lloyds Banking Group, we're 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 you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll 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. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're 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 we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Senior Data Scientist in Bristol employer: Lloyds Bank

Lloyds Banking Group is an exceptional employer, offering a dynamic work culture that prioritises diversity, equity, and inclusion while fostering employee growth through comprehensive training and mentorship opportunities. Located in Bristol, the hybrid working model allows for flexibility, complemented by a generous benefits package including a substantial pension contribution, performance-related bonuses, and a commitment to employee wellbeing. Join us to be part of a transformative journey in financial services, where your contributions will help shape the future of banking for good.

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Contact Details:

Lloyds Bank Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist in Bristol

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 the interview process. It’s all about making connections that can help us stand out!

Tip Number 2

Prepare for those tricky interview questions! Brush up on your knowledge of NLP and Generative AI, and be ready to discuss how you’ve tackled complex data science problems in the past. We want to show them we’re the right fit for their team!

Tip Number 3

Don’t forget to showcase your soft skills! Communication is key, especially when translating technical jargon into layman's terms. Practice explaining your projects to friends or family who aren’t in the field – it’ll help us nail that part of the interview!

Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows we’re serious about joining the team at Lloyds Banking Group. Let’s get that application in!

We think you need these skills to ace Senior Data Scientist in Bristol

Machine Learning
Natural Language Processing (NLP)
Statistical Modelling
Generative AI
Conversational AI Systems
Python
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, NLP, and any relevant projects that showcase your skills. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our goals at StudySmarter. Keep it engaging and personal – we love a good story!

Showcase Your Communication Skills:Since you'll be translating complex data science concepts for non-technical audiences, make sure to demonstrate your communication skills in your application. Use clear language and examples that show how you've successfully collaborated with others.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!

How to prepare for a job interview at Lloyds Bank

Know Your NLP Inside Out

As a Senior Data Scientist, you'll need to demonstrate a solid understanding of NLP techniques. Brush up on both traditional NLU methods and the latest GenAI advancements. Be ready to discuss how you've applied these in past projects and how they can be leveraged for the role.

Showcase Your Communication Skills

Strong communication is key in this role. Prepare to explain complex data science concepts in simple terms. Think of examples where you've successfully communicated findings to non-technical stakeholders, as this will show your ability to bridge the gap between data and business.

Prepare for Technical Questions

Expect technical questions around Python, SQL, and machine learning techniques. Brush up on your coding skills and be prepared to solve problems on the spot. Practising coding challenges or discussing your previous work with these tools can help you feel more confident.

Demonstrate Your Coaching Ability

Since part of the role involves coaching junior team members, think of examples where you've mentored others. Be ready to discuss your approach to developing talent and how you can contribute to building a strong data science chapter within the company.