Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Santander UK. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
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.
The role will actively engage with clients within the bank to evaluate and identify data science problems that offer the greatest opportunities to the organisation.
You will use advanced data science techniques & approaches to solve specific business problems. Explore a variety of techniques to identify the optimal solution. Encourage efficiency by delivering analysis that is complete and can be interrogated by consumers.
The difference you’ll make:
- Summarise large data sets into meaningful conclusions using available tools; discover patterns and trends.
- Build predictive models and machine learning algorithms.
- Provide a support role & mentorship to members of the Data Science team in business & technical aspects of the job. Continuously ensure effective execution of duties at more junior level.
- Ensure that output is actionable and adds value.
- Take responsibility for projects & lead them without active supervision.
- Able to tell a compelling story by making complex things simple to understand for technical and non-technical audiences.
- Present the information in a logical way using data science visualisation tools.
- Have knowledge of Data Science techniques with evidence of using them on data across supervised & unsupervised learning business problems. Technical understanding of most commonly used algorithms – Linear Regressions, Random Forests, SVMs, KNN, K-means, etc.
What you’ll bring:
- Have knowledge of statistics (statistical distributions, hypothesis testing, and confidence intervals).
- Experience in practical data processing, data visualisation & information retrieval.
- Programming experience in Python & SQL preferably developed in a commercial setting of 1+ year. Exposure to Spark is desirable, but not essential.
- Working knowledge of the following libraries: numpy, scipy, pandas, scikit learn, matplotlib, seaborn.
- DevOps experience in areas such as Git and Agile development methods.
- Understanding of big data technologies (Hadoop).
- Knowledge & experience working with cloud platforms for the deployment of machine learning solutions is advantageous.
- Knowledge of AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, Langchain and Langgraph.
- Understanding of fine-tuning pre-trained LLMs on specific datasets to adapt them for custom tasks and deploying models in production environments.
- 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.
- 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:
- Master’s degree in a quantitative discipline is advantageous, but not required.
- Be an active collaborator in the Data Science Community and help to devise best practice, particularly in relation to data preparation, code sharing & template use.
What else you need to know:
- 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 salary, we offer a wide range of benefits that you can choose from and tailor to your needs.
- £500 annual cash allowance to spend on our great range of benefits.
- 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.
- 27 days’ holiday plus bank holidays, which increases to 28 days after 5yrs service, with the option to purchase up to 5 contractual days per year.
- Free access to a range of digital health services, including GP.
- 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.
- 24/7 access to an online employee discount platform including retailers, entertainment, eating out, travel and more.
- Voluntary healthcare benefits at discounted rates. Including: medical insurance, dental insurance, and health assessments.
- Share in Santander’s success by saving or investing in our share plans.
- Support your favourite causes through charitable giving and our community partnerships.
- 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
Benefits
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
[email protected].
