At a Glance
- Tasks: Lead innovative AI projects to combat economic crime and protect communities.
- Company: Join Lloyds Banking Group, a leader in financial services with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working.
- Other info: Inclusive culture with strong support for diversity and career growth opportunities.
- Why this job: Make a real impact using cutting-edge AI to prevent fraud and financial crime.
- Qualifications: Degree in Computer Science or related field; experience in NLP and Deep Learning required.
The predicted salary is between 70929 - 78810 £ per year.
Salary: £70,929 - £78,810 per annum
Location: Leeds
Hours: Full-time
Working Pattern: Hybrid, at least two days per week (40%) in office
About This Opportunity
Join our team if you have an appetite for innovation that leads to incredible impact! In the Economic Crime Prevention (ECP) Platform Team, our mission is to reduce harm to our communities by enhancing Lloyds Banking Group's capability to prevent, detect and respond to economic crime. The Platform sits within Consumer Relationships and plays a critical role in providing services across the whole Group.
We’re looking to recruit a Lead Data & AI Scientist to lead on the delivery of sophisticated methods to a wide range of Economic Crime Prevention (ECP) use cases, including natural language processing, generative Artificial Intelligence (AI) and graph-based Machine Learning (ML). We are seeking a candidate with a genuine passion for AI and protecting customers that can apply the latest advances in the field to help identify and prevent acts of fraud and financial crime across tens of millions of transactions per day.
Day to day, you will:
- Use your skill set to build machine learned models to detect and prevent fraud and financial crime.
- Lead small teams in the development and maintenance of AI products that serve internal and external customers.
- Work with diverse datasets and efficiently process and learn from them in order to gain insights.
- Engage with data engineering teams within the Economic Crime Intelligence lab to help guide how we can best make use of our ECP data.
- Work closely with stakeholders to understand business problems and help guide where data AI solutions could prove fruitful.
What you’ll need:
- Degree in Computer Science, Machine Learning, Mathematics or similar field.
- Experience building, deploying and maintaining NLP/Deep Learning Systems.
- Extensive experience in at least one Deep Learning framework (PyTorch, TensorFlow, JAX).
- Well versed in the scientific Python ecosystem (NumPy, Scikit-Learn, Pandas etc.).
- Strong Data Engineering underpinnings and an ability to work with big data (Tbs).
- Strong leadership skills, using empathy, clarity and challenge to support your team to be their best.
- Strong communication skills with an ability to adapt style for different audiences.
And any experience of these would be really useful:
- Experience with Huggingface or PyTorch Geometric libraries.
- Understanding of MLOps and how it applies to the entire model lifecycle.
- Experience deploying models behind APIs.
- Experience with cloud platforms especially GCP and Vertex.
About working for us
Our focus is to ensure we're 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's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.
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
Why Lloyds Banking Group
Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too.
Lead Data & AI Scientist in Leeds employer: LLOYDS BANKING GROUP
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Leeds that fosters innovation and inclusivity. With a strong commitment to employee growth, we provide extensive benefits including a generous pension scheme, performance-related bonuses, and a focus on wellbeing initiatives. Join us to be part of a team dedicated to making a meaningful impact in the fight against economic crime while enjoying a supportive culture that values diversity and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data & AI Scientist in Leeds
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We think you need these skills to ace Lead Data & AI Scientist in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at LLOYDS BANKING GROUP, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LLOYDS BANKING GROUP. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
