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For Companies At a Glance
- Tasks: Design, build, and test advanced models to influence key business decisions.
- Company: Join a well-established lender with 25 years of experience in the market.
- Benefits: Enjoy a £30,000 salary, career development, and a supportive team environment.
- Why this job: Make a real impact using AI and machine learning from day one in a dynamic setting.
- Qualifications: A 2:1 or higher degree in Computer Science, Data Science, or similar is required.
- Other info: Flexible start date for Summer/Autumn 2025 graduates; remote/hybrid options may be available.
The predicted salary is between 24000 - 42000 £ per year.
Location: [Insert location if applicable or mention remote/hybrid if relevant]
Salary: £30,000 per annum
Job Type: Permanent, Full-Time
Start Date: Flexible for Summer/Autumn 2025 Graduates
The Opportunity
Are you a recent or soon-to-be graduate with a passion for Machine Learning and Artificial Intelligence? Our client, a well-established and rapidly growing specialist lender with over 25 years of market experience, is looking for a bright and enthusiastic Graduate Data Scientist to join their dynamic Data & Analytics team. This is an ideal opportunity for someone looking to make a meaningful impact using AI and machine learning techniques in real-world business scenarios from day one.
About the Role
Reporting directly to the Head of Data Analytics, this is a hands-on role where you will design, build and test advanced models that influence key business decisions. The role offers flexibility and autonomy in how you approach problems, making it ideal for self-motivated individuals who are curious, analytical, and solution-driven.
Key Responsibilities:
- Build and maintain clean, scalable data pipelines alongside the wider data team
- Design and test ML models to support decision-making across the business
- Research and recommend how AI/ML can improve internal processes and efficiencies
- Support ad-hoc data analysis requests alongside the Data Analyst team
- Present model outputs and findings in clear, accessible formats to non-technical stakeholders and senior management
What You’ll Need:
- A 2:1 or higher degree in Computer Science, Data Science, AI or similar
- Strong understanding of statistical methods, e.g., Bayesian and frequentist techniques
- Solid grasp of core ML algorithms: regression models, random forests, neural networks, time series, etc.
- Experience with SQL and Python (or similar programming languages)
- Interest or exposure to large language models and prompt engineering is advantageous
- An analytical mindset, problem-solving attitude, and eagerness to learn
- Strong communication skills – both written and verbal
- Able to work independently and manage multiple tasks/projects effectively
You’ll Be a Great Fit If You Are:
- Genuinely passionate about applying ML and AI to solve real business problems
- Comfortable learning on the job and taking initiative
- A team player with a collaborative attitude and clear communication style
- Detail-oriented, accurate, and efficient with your work
Why Apply?
- £30,000 starting salary
- Supportive, forward-thinking team with real investment in data-driven growth
- Career development opportunities in a growing organisation
- Use your skills to make a measurable impact from day one
How to Apply:
If you’re looking to kick-start your data science career in a supportive and innovative environment, we’d love to hear from you. Submit your CV and a short covering message outlining your interest and availability.
Data Scientist - Graduate employer: Hawkes Resourcing Group
Contact Detail:
Hawkes Resourcing Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Graduate
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Build a portfolio showcasing your data science projects. Include examples of machine learning models you've developed, data visualisations, or any relevant analyses. Having tangible evidence of your skills can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the data science field. Attend meetups, webinars, or conferences to connect with others and learn about potential job openings. Personal connections can often lead to opportunities that aren't advertised.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and data science problems. Websites like LeetCode or Kaggle can provide valuable practice. Being well-prepared will boost your confidence and demonstrate your problem-solving abilities.
We think you need these skills to ace Data Scientist - Graduate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to data science, machine learning, and artificial intelligence. Emphasise any projects or coursework that demonstrate your understanding of statistical methods and programming languages like SQL and Python.
Craft a Compelling Covering Message: In your covering message, express your passion for data science and how it aligns with the company's goals. Mention specific aspects of the role that excite you and how your background makes you a great fit for the position.
Showcase Your Analytical Skills: Provide examples in your application that showcase your analytical mindset and problem-solving abilities. This could include academic projects, internships, or personal projects where you applied machine learning techniques to solve real-world problems.
Highlight Communication Skills: Since the role involves presenting findings to non-technical stakeholders, emphasise your strong communication skills. Include instances where you've successfully communicated complex ideas clearly and effectively, whether in written reports or presentations.
How to prepare for a job interview at Hawkes Resourcing Group
✨Showcase Your Passion for AI and ML
Make sure to express your enthusiasm for machine learning and artificial intelligence during the interview. Share any relevant projects or experiences that demonstrate your interest and how you've applied these technologies in real-world scenarios.
✨Prepare for Technical Questions
Expect questions related to statistical methods and core ML algorithms. Brush up on concepts like regression models, random forests, and neural networks. Be ready to explain these concepts clearly, as you may need to present findings to non-technical stakeholders.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss how you approach problem-solving. Use examples from your academic projects or internships where you identified a problem, designed a solution, and implemented it successfully. This will show your analytical mindset and eagerness to learn.
✨Highlight Your Communication Skills
Since you'll be presenting model outputs to senior management, it's crucial to demonstrate strong communication skills. Practice explaining complex data concepts in simple terms, and be ready to discuss how you would tailor your communication style to different audiences.
