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- Tasks: Work with consultants to solve business problems using data science techniques.
- Company: Artefact is a fast-growing data service provider transforming businesses through data-driven solutions.
- Benefits: Enjoy hybrid work options, a vibrant culture, and opportunities for personal growth.
- Why this job: Join a revolutionary team shaping the future of marketing with exciting challenges every day.
- Qualifications: Experience with SQL, Python, cloud platforms, and machine learning techniques is essential.
- Other info: Be part of a diverse team of entrepreneurs dedicated to making a significant industry impact.
The predicted salary is between 28800 - 48000 £ per year.
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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.
- Exposure to cloud platforms (AWS, Azure, GCP)
Why you should join us
- Artefact is revolutionizing marketing: join us to build the future of marketing
- 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!
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Junior Data Scientist employer: Artefact
Contact Detail:
Artefact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and cloud platforms like AWS. Having hands-on experience or projects showcasing these skills can set you apart during interviews.
✨Tip Number 2
Engage with Artefact's online presence by following them on social media and participating in discussions related to data science and digital marketing. This will not only keep you informed about their latest initiatives but also demonstrate your genuine interest in the company.
✨Tip Number 3
Prepare to discuss real-world applications of machine learning and AI in business contexts. Think of examples where you've used these techniques to solve problems, as this aligns with the responsibilities of the role and shows your practical understanding.
✨Tip Number 4
Network with current or former employees of Artefact through platforms like LinkedIn. Gaining insights into the company culture and expectations can help you tailor your approach and questions during the interview process.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Junior Data Scientist role. Focus on your proficiency in Python, SQL, and any cloud platforms you've worked with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background fits Artefact's mission. Mention specific projects or experiences that demonstrate your ability to solve business problems using data.
Showcase Technical Skills: In your application, emphasise your technical skills such as machine learning, data manipulation, and cloud infrastructure. Provide examples of how you've used these skills in past projects or coursework.
Research Artefact: Familiarise yourself with Artefact's work and culture by exploring their website and social media. This will help you tailor your application and prepare for potential interviews by understanding their values and goals.
How to prepare for a job interview at Artefact
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Junior Data Scientist at Artefact. Familiarise yourself with the specific skills required, such as SQL, Python, and cloud platforms. This will help you tailor your answers to demonstrate your relevant experience.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving machine learning or data manipulation. Be ready to explain your thought process, the tools you used, and the outcomes. This will show your practical knowledge and problem-solving abilities.
✨Communicate Clearly
Since you'll need to simplify technical concepts for non-technical stakeholders, practice explaining complex ideas in simple terms. During the interview, focus on clear communication to demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Ask Insightful Questions
Prepare thoughtful questions about Artefact's projects, culture, and future direction. This shows your genuine interest in the company and helps you assess if it's the right fit for you. It also gives you a chance to engage with the interviewers on a deeper level.
