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- Tasks: Build and fine-tune machine learning models to drive business outcomes.
- Company: Join Printed.com, a leading online print shop in the UK, passionate about innovation.
- Benefits: Enjoy 22 days holiday, staff discounts, and fun company events like summer parties.
- Why this job: Be part of a dynamic team that values creativity and original ideas in a fast-paced environment.
- Qualifications: 3+ years in machine learning, proficiency in Python, SQL, and ML frameworks required.
- Other info: Candidates must be based in the UK; experience with data pipelines is a bonus.
The predicted salary is between 36000 - 60000 £ per year.
We are Printed.com, one of the largest and fastest growing on-line print shops in the UK. We are filled to the brim with a passionate team who are mad about printing, designing, building and growing the business. In the office you’ll find that we are forward-thinking, with a mission to be creative, innovative and to help our customers.
We are constantly investing in new products and using technology to improve how we increase our market share and take advantage of new opportunities. Catch us in our production space and you will find a fast-paced, dedicated team who endeavour to reach perfection for our customers.
We’re a growing company with offices in London and Newcastle, looking for employees that are equal parts dynamic and enthusiastic. People brimming over with new, original ideas that they just can’t wait to share with their team and bring to life.
We are seeking a Data Scientist with a strong technical background in machine learning and data analysis. In this role, you will be responsible for building and fine-tuning machine learning models that drive key business outcomes. These models will be integrated into various systems, including our website, reporting tools, and analytics platforms. You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure.
Key Responsibilities:
- Develop & Deploy ML Models: Build models that power personalization, recommendations, and anomaly detection.
- Implement ML Ops: Set up continuous integration, monitoring, and automated retraining for production models.
- Leverage AI Tools: Use AI-powered coding assistants (e.g., Cursor, Copilot) to enhance development efficiency.
- Collaborate: Work closely with data engineers and the Head of Data to ensure robust data pipelines and translate requirements into technical solutions.
*Candidates must be based in the UK*
Minimum Requirements:
- 3+ years’ experience in applied machine learning and production model deployment.
- Proficiency in Python, SQL , and ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus.
- Ability to quickly learn new tools and independently deliver scalable, high-quality solutions.
- Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta Lake) is a bonus.
Our Tech Stack:
- Data Pipeline: Data sources → Debezium/Kafka → S3 → Databricks/Lambda → S3 (Delta format) / Embedded → Reporting/Notifications
- Infrastructure: AWS cloud managed via Terraform
Benefits:
- 22 days holiday (rising to 25 with service) Plus 8 days bank holidays
- Staff discounts & Friends and Family discounts
- Cycle to work scheme and Tech Scheme
- Breakfast and drinks provided
- Charity day per annum supported
- Summer and Christmas Parties
- Street food days
- Perkbox membership
- Enhanced Maternity & Paternity leave
- Employee referral scheme
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Data Scientist employer: The Printed Group Limited
Contact Detail:
The Printed Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific machine learning frameworks mentioned in the job description, like TensorFlow and PyTorch. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical expertise during discussions.
✨Tip Number 2
Showcase your ability to work collaboratively by preparing examples of past projects where you successfully partnered with data engineers or other teams. This will highlight your teamwork skills, which are crucial for this role.
✨Tip Number 3
Stay updated on the latest trends in machine learning and AI tools. Mentioning recent advancements or tools you've experimented with can set you apart as a forward-thinking candidate who is eager to innovate.
✨Tip Number 4
Prepare to discuss how you would approach building and deploying ML models that drive business outcomes. Think about specific examples where your models have made a measurable impact, as this aligns perfectly with the company's mission.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Company Culture: Printed.com values creativity and innovation. Make sure to reflect your passion for these qualities in your application. Mention any relevant experiences that showcase your enthusiasm for design and technology.
Highlight Relevant Experience: Clearly outline your experience with machine learning, data analysis, and model deployment. Use specific examples to demonstrate your proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
Showcase Collaboration Skills: Since the role involves working closely with data engineers and other teams, emphasize your ability to collaborate effectively. Provide examples of past projects where teamwork led to successful outcomes.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing, such as 'ML Ops', 'AWS services', and 'data pipelines', to ensure your application stands out.
How to prepare for a job interview at The Printed Group Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Bring examples of projects where you've built and deployed models, and be ready to explain the impact they had on business outcomes.
✨Demonstrate Collaboration
Since this role involves working closely with data engineers and other team members, highlight your teamwork experiences. Share specific instances where you collaborated on projects, focusing on how you translated requirements into technical solutions.
✨Familiarize Yourself with Their Tech Stack
Research Printed.com's tech stack, especially their use of AWS, Databricks, and ML Ops principles. Being knowledgeable about their tools will show your genuine interest in the company and help you discuss how you can contribute effectively.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in relation to building and fine-tuning machine learning models. Practice explaining your thought process and approach to overcoming challenges in previous projects.
