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- Tasks: Develop data science solutions using AI and machine learning to solve real business problems.
- Company: Join Artefact, a fast-growing data service provider with a global presence.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a team revolutionising marketing and making a real impact.
- Qualifications: Experience in data science, Python, and cloud technologies is essential.
- Other info: Dynamic culture with daily challenges and entrepreneurial spirit.
The predicted salary is between 28800 - 48000 £ per year.
Location: London, UK (Hybrid)
Type: Full-Time
Who we are
Artefact is a new generation of data service provider, specialising in data-driven consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organisations. With skyrocketing growth, Artefact has established a global presence with over 1,000 employees across 20 offices worldwide. Our data-driven solutions are designed to meet the specific needs of our clients, leveraging our deep AI expertise and innovative methodologies. Our cohesive teams of data scientists, engineers, and consultants are focused on accelerating digital transformation, ensuring tangible results for every client.
Role Profile
A Data Scientist at Artefact will work together with consultants as a joint team on client projects. Leverage machine learning, AI, and statistical techniques to solve specific business problems.
Responsibilities
- Develop and maintain code to deliver data science solutions.
- Work together with business consultants to understand and document client needs.
- Follow a structured skill development program aimed at advancing to a Senior Data Scientist role.
- Contribute to ongoing research and academic initiatives.
- Simplify and communicate technical concepts to non-technical stakeholders.
Required skills
- Data: Design and implement storage solutions with SQL, NoSQL, cloud storage, data versioning, validation, and advanced dataframe handling (Polars/PySpark).
- Python: Utilise virtual environments, object-oriented programming, data classes, and data manipulation libraries for scripting and visualisation.
- Repository: Manage code with single-branch PRs/MRs, CI/CD pipelines, pre-commit hooks, and Markdown documentation for building, testing, and deploying.
- Cloud: Leverage cloud infrastructure (e.g., AWS EC2), databases, and configuration with markup files for remote management and deployment.
- Model: Implement models (e.g., linear regression, gradient boosting) with training/testing datasets, cross-validation, performance visualisation, and use hosted APIs; explore techniques like time-series forecasting, clustering, or Bayesian inference.
- Orchestration and Parallelisation: Manage workflows with tools like Metaflow, MLFlow, AirFlow, or DVC; utilise parallelisation frameworks like PySpark or Ray for efficient model processing.
Desirable skills
- A Master’s degree in a quantitative field
- Exposure to cloud platforms (AWS, Azure, GCP)
Why you should join us
- Progress: every day offers new challenges and new opportunities to learn.
- Culture: Check out our website (Artefact.com) or Instagram (Artefact UK) to find out more about our diverse, vibrant culture here.
- Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!
Hit apply, and see whether what we offer is what you’ve been looking for!
Junior Data Scientist in England employer: Artefact
Contact Detail:
Artefact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Artefact on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning techniques. Show us how you can solve real business problems!
✨Tip Number 3
Don’t just focus on the job description; research Artefact’s projects and values. Tailor your conversation to show how your skills align with their mission of transforming data into business impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Artefact.
We think you need these skills to ace Junior Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight relevant skills like Python, SQL, and any experience with machine learning or cloud platforms. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at Artefact. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on any data science projects, make sure to mention them! Whether it's a personal project or something from your studies, we love seeing practical applications of your skills. Share links if you can!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Artefact
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and cloud storage skills before the interview. Artefact is looking for someone who can leverage these tools effectively, so be ready to discuss your experience with data manipulation libraries and how you've used them in past projects.
✨Understand the Business Impact
Artefact focuses on transforming data into business impact, so it’s crucial to understand how your technical skills can solve real-world problems. Prepare examples of how you've simplified complex data concepts for non-technical stakeholders or contributed to business outcomes in previous roles.
✨Show Your Collaborative Spirit
As a Junior Data Scientist, you'll be working closely with consultants and other team members. Be prepared to talk about your teamwork experiences, how you’ve collaborated on projects, and how you approach understanding client needs. Highlight any instances where you’ve successfully worked in a team to deliver results.
✨Be Ready for Technical Questions
Expect some technical questions related to machine learning models, data orchestration, and parallelisation frameworks. Brush up on your knowledge of linear regression, gradient boosting, and tools like MLFlow or AirFlow. Being able to explain your thought process and problem-solving approach will impress the interviewers.
