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For Companies At a Glance
- Tasks: Design and enhance AI models for lending and credit decision-making.
- Company: Established organisation focused on data-driven decision making.
- Benefits: Hybrid working, career development, and exposure to high-value AI projects.
- Other info: Collaborative culture with a focus on long-term growth.
- Why this job: Join a growing AI Lab and influence future innovations.
- Qualifications: Experience in credit risk and strong programming skills in Python and SQL.
The predicted salary is between 50000 - 70000 £ per year.
The Company
They are a well established organisation operating at the centre of data driven decision making, supporting businesses to make more accurate and responsible choices. With access to large, complex datasets, they play a critical role in enabling better outcomes across financial services and beyond. The AI Lab is a newer function within the wider Data and Analytics group, created to accelerate innovation and integrate AI more deeply into products and client work. The culture is collaborative, stable and long term focused, with strong investment in people.
The Role
- Design, develop and enhance AI and machine learning models to support lending and credit decisioning.
- Work on a wide range of AI initiatives including predictive modelling, scorecards, chatbots and transformer based approaches.
- Carry out research and development to explore how AI can be used as an alternative or improved solution to existing processes.
- Contribute to new product innovation, including the development of new predictive models and tools.
- Collaborate with stakeholders across data, analytics and the wider business to embed AI into client work and internal projects.
- Present technical concepts and findings clearly to both technical and non technical audiences.
Your Skills & Experience
- Strong commercial experience in credit risk within a lender, fintech or credit bureau environment.
- Proven capability in developing models, particularly scorecards or similar predictive models.
- Hands on experience with AI and machine learning, such as LLMs, AI chatbots or advanced ML techniques.
- Evidence of applying AI to solve real business problems within lending, credit or collections.
- Strong programming skills in Python and SQL.
- Confident communicator, comfortable presenting and explaining complex ideas.
What They Offer
- Hybrid working model with a structured in office presence three days per week.
- Exposure to varied, high value AI work across multiple business areas and industries.
- Opportunity to join a growing AI Lab with genuine influence over future direction and innovation.
- A supportive, long term focused environment with strong retention and career development.
AI Consultant in Leeds employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant in Leeds
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects, especially those related to credit risk or predictive modelling. Share it on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and machine learning. Be ready to explain your thought process and how you've applied AI to solve real business problems. Confidence is key!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Consultant in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Consultant role. Highlight your experience in credit risk and any relevant AI projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our AI Lab. Keep it engaging and make sure to mention specific projects or experiences that relate to the job.
Showcase Your Technical Skills: Don’t forget to highlight your programming skills in Python and SQL. If you've developed predictive models or worked with AI chatbots, be sure to include those details. We love seeing hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially around predictive modelling and scorecards. Be ready to discuss specific projects you've worked on and how you've applied AI to solve real business problems in lending or credit.
✨Showcase Your Programming Skills
Since strong programming skills in Python and SQL are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Communicate Clearly
You’ll need to present technical concepts to both technical and non-technical audiences. Practice explaining complex ideas in simple terms, and think of examples where you’ve successfully communicated your findings to diverse stakeholders.
✨Emphasise Collaboration
This role involves working closely with various teams, so highlight your collaborative experiences. Share examples of how you've worked with others to integrate AI into projects and how you’ve contributed to team success in previous roles.