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- Tasks: Design and implement advanced data science solutions to tackle complex business challenges.
- Company: Join Artefact, a global leader in data and AI consulting.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by solving problems for top brands using cutting-edge technology.
- Qualifications: Bachelor's or Master's in a quantitative field and experience in team leadership.
The predicted salary is between 60000 - 80000 £ per year.
Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.
What you will be doing:
- Designing and implementing advanced data science and machine learning solutions to solve complex business problems.
- Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees.
- Supervising and mentoring team members on code, deployment, and best practices.
- Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles.
Qualifications:
- Education: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
- Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.
- Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.
- ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.
- Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.
- Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.
Desirable experience:
- Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.
- Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray.
- Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.
Senior Data Scientist employer: Artefact
Contact Detail:
Artefact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving advanced data science and machine learning solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with MLOps, cloud technologies, and team leadership. Practice common interview questions and consider doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining Artefact. Plus, it gives us a chance to see your enthusiasm right from the start!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your experience with advanced modelling, MLOps, and cloud technologies to show us you’re the perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our mission at Artefact. Be specific about your achievements and how they relate to the job.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in machine learning solutions and project leadership. We love seeing real-world applications of your skills.
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 us you’re keen to join our team!
How to prepare for a job interview at Artefact
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss complex models like time-series forecasting and NLP, as well as your experience with MLOps tools. Artefact will want to see that you can not only implement these solutions but also explain them clearly.
✨Show Off Your Leadership Skills
Since the role involves supervising team members and taking ownership of projects, be prepared to share examples of how you've led teams in the past. Talk about specific projects where you defined technical deliverables and presented updates to stakeholders. This will show Artefact that you're ready for the responsibility.
✨Get Familiar with Cloud Technologies
Artefact works with major cloud providers like AWS and Azure, so make sure you know your way around these platforms. Be ready to discuss your hands-on experience with app deployment and database services. If you have experience with infrastructure-as-code tools like Terraform, definitely highlight that!
✨Practice Problem-Solving on the Spot
During the interview, you might be asked to solve a problem or case study related to data science. Practice thinking aloud while solving problems, as this will demonstrate your thought process and analytical skills. Artefact values quick delivery, so showing your ability to think on your feet will be a big plus.