Data Scientist | Data Centre of Excellence | S3 | Multiple Locations
Data Scientist | Data Centre of Excellence | S3 | Multiple Locations

Data Scientist | Data Centre of Excellence | S3 | Multiple Locations

Milton Keynes Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science projects, turning data into actionable insights and driving AI innovation.
  • Company: Join Santander UK, a leading bank committed to diversity and innovation.
  • Benefits: Enjoy hybrid working, competitive salary, 30+ days holiday, and tailored benefits.
  • Why this job: Be at the forefront of AI technology while contributing to meaningful projects in a supportive culture.
  • Qualifications: Degree in a numerical subject; experience with AI frameworks and project leadership required.
  • Other info: Fixed term contract with opportunities for personal and professional growth.

The predicted salary is between 43200 - 72000 £ per year.

Data Scientist | Data Centre of Excellence | S3 | Multiple Locations

Country: United Kingdom

Join our community:

The role is responsible for increasing our Machine Learning capability within Santander UK by combining a wide range of technical skills with business knowledge to turn vast quantities of data into value.

You will lead the relationship and the full end to end project delivery, which includes, business requirements, planning, design, development and implementation Data Science projects across all teams in Santander UK.

You will manage specific initiatives within the ongoing topic agenda for the portfolio, improving the Bank’s understanding of Data Science and contributing to the Data Science roadmap, delivering specific projects within that portfolio. You will encourage efficiency by delivering analysis that is complete and can be interrogated by consumers.

The difference you’ll make:

  • Drive the implementation of best practices in Generative AI, ensuring ethical and innovative project outcomes.

  • Guide team members in applying Generative AI principles to develop cutting-edge solutions.

  • Identify and mitigate potential issues in the development and deployment of Generative AI models.

  • Monitor effectiveness and compliance of Generative AI projects with industry and ethical standards.

  • Optimise RAG workflows for performance and accuracy to provide contextually relevant and accurate information.

  • Make use of embeddings for various data types using models like BERT, GPT, or CLIP.

What you’ll bring:

  • Extensive knowledge of AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, Langchain and Langgraph.

  • Extensive experience with multi-modal LLMs, which handle text, images, and other data types, is valuable for building interactive AI applications.

  • Experienced in implementing large-scale RAG applications, setting up retrieval systems, and integrating them with LLMs.

  • Understanding of vector databases like Pinecone, Milvus, or FAISS is essential for storing and querying embeddings.

  • Excellent understanding and experience in fine-tuning pre-trained LLMs on specific datasets to adapt them for custom tasks and deploying models in production environments.

  • Experience in designing and implementing scalable AI pipelines and systems that can handle large-scale data and high-throughput requirements.

  • Proficiency in distributed computing, cloud-based AI services.

  • Understanding of AI ethics, fairness, and bias mitigation techniques.

  • Ability to implement ethical AI practices and ensure that AI models are fair, transparent, and accountable.

  • Proven experience in leading ML & GenAI projects.

  • Degree level or equivalent in a numerical subject such as data science, physics, engineering or applied maths.

It would also be nice for you to have:

  • Team management experience, particularly with a data science team.

  • Ability to recruit, train and develop colleagues within the department to build capability.

What else you need to know:

  • This is a fixed term contract.

  • Our preferred location for this role is Milton Keynes, but we’ll also consider locating the role in Glasgow.

  • We want our people to thrive at work and home, and also be able to deliver the best outcomes for our customers and to help each other develop. To support this, we offer site-based contracts with a hybrid working pattern and our expected level of attendance in an office is at least 12 days per month (pro-rata for part-time roles).

  • If you apply for this role in any of these locations, it’s important you consider your travelling distance, time and cost from your home to the office locations.

  • We’re happy to discuss specific working patterns and arrangement within this hybrid approach during the recruitment process.

Inclusion

At Santander we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair.

How we’ll reward you.

As well as a competitive salary, you’ll enjoy a benefits package that you can tailor to your needs.

  • Eligible for a discretionary performance-related annual bonus.

  • We put 8% of salary into your pension, even if you don’t contribute yourself. We’ll pay in up to 12.5% of salary, if you contribute as well, and you can take some of our contribution in cash if you prefer.

  • 30 days’ holiday plus bank holidays, which increases to 31 days after 5yrs service, with the option to purchase up to 5 contractual days per year.

  • £6,000 car allowance per year

  • Company funded individual private medical insurance.

  • Voluntary healthcare benefits at discounted rates such as private medical insurance for your family, dental insurance, and health assessments.

  • Protection for you and your family, with company-funded death-in-service benefit and income protection insurance, and the option to take advantage of discounted rates for additional life assurance and critical illness cover.

  • Share in Santander’s success by saving or investing inour shareplans.

  • As a Santander UK employee, you are able to request staff versions of our products like our Edge Current Accounts and Credit Cards with no fees, as well as apply to many other deals and discounts in Santander products and services

Learn more about our benefits and family friendly policies

What to do next:

If this sounds like a role you’re interested in, then please apply.

If there’s anything we can do in the recruitment process to help you achieve your best, get in touch. Whether it’s a copy of our application form in another format or additional assistance, we’re available through email. You can contact us at resourcing@santander.co.uk.

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Data Scientist | Data Centre of Excellence | S3 | Multiple Locations employer: Santander USA

Santander UK is an exceptional employer that prioritises employee growth and well-being, offering a supportive work culture where diversity is celebrated. With a competitive benefits package, including generous holiday allowances, pension contributions, and opportunities for hybrid working, employees can thrive both professionally and personally. The Data Centre of Excellence fosters innovation in AI and data science, providing team members with the chance to lead impactful projects while developing their skills in a collaborative environment.
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Contact Detail:

Santander USA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist | Data Centre of Excellence | S3 | Multiple Locations

✨Tip Number 1

Familiarise yourself with the latest trends in Generative AI and Machine Learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Network with current employees or professionals in the data science community, especially those who have experience with Santander or similar organisations. This can provide you with insights into the company culture and expectations for the role.

✨Tip Number 3

Prepare to showcase your experience with AI frameworks like TensorFlow and PyTorch. Be ready to discuss specific projects where you've implemented these technologies, as practical examples can set you apart from other candidates.

✨Tip Number 4

Understand the ethical implications of AI and be prepared to discuss how you would ensure fairness and transparency in your projects. This is increasingly important in the industry, and demonstrating your commitment to ethical practices can make a strong impression.

We think you need these skills to ace Data Scientist | Data Centre of Excellence | S3 | Multiple Locations

Machine Learning
Generative AI
AI Ethics
TensorFlow
PyTorch
Hugging Face Transformers
Langchain
Langgraph
Multi-modal LLMs
RAG Applications
Vector Databases
Pinecone
Milvus
FAISS
Fine-tuning LLMs
Scalable AI Pipelines
Distributed Computing
Cloud-based AI Services
Team Management
Project Leadership
Data Science Roadmap Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with AI frameworks like TensorFlow and PyTorch. Emphasise any projects where you've implemented Generative AI or worked with multi-modal LLMs.

Craft a Strong Cover Letter: In your cover letter, express your passion for data science and how your skills align with the role's requirements. Mention specific examples of past projects that demonstrate your ability to lead and deliver data science initiatives.

Showcase Technical Skills: Clearly list your technical skills related to the job description, such as experience with vector databases and cloud-based AI services. Use bullet points for clarity and ensure you include any relevant certifications.

Highlight Team Management Experience: If you have experience managing a data science team, make sure to highlight this in your application. Discuss how you've recruited, trained, and developed team members to build capability within the department.

How to prepare for a job interview at Santander USA

✨Showcase Your Technical Skills

Be prepared to discuss your experience with AI frameworks like TensorFlow and PyTorch. Highlight specific projects where you've implemented these technologies, especially in relation to Generative AI and multi-modal LLMs.

✨Demonstrate Business Acumen

Since the role involves turning data into value, be ready to explain how your technical skills have previously contributed to business outcomes. Use examples that illustrate your understanding of business requirements and project delivery.

✨Discuss Ethical AI Practices

Given the emphasis on ethical AI, prepare to talk about your understanding of fairness and bias mitigation techniques. Share any experiences you have in ensuring compliance with industry standards in your previous projects.

✨Prepare for Team Management Questions

If you have team management experience, be ready to discuss your approach to recruiting, training, and developing colleagues. Provide examples of how you've built capability within a data science team and fostered collaboration.

Data Scientist | Data Centre of Excellence | S3 | Multiple Locations
Santander USA

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  • Data Scientist | Data Centre of Excellence | S3 | Multiple Locations

    Milton Keynes
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-08-09

  • S

    Santander USA

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