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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: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- 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.
- Other info: Collaborate with a diverse team across 25 countries and work on exciting projects.
The predicted salary is between 48000 - 72000 £ per year.
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.
As a Senior Data Scientist in our London office, your role will encompass:
- 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
Necessary education and experience
- 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 Scientists - Artefact UK in London employer: Artefact
Contact Detail:
Artefact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientists - Artefact UK in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings at Artefact or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and cloud technologies. 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 providers, and team leadership. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Artefact and being part of our amazing team.
We think you need these skills to ace Senior Data Scientists - Artefact UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with advanced data science, machine learning solutions, and any relevant projects you've led. We want to see how your skills align with what we do at Artefact!
Showcase Your Projects: Include specific examples of projects where you've implemented complex models or supervised team members. This will help us understand your hands-on experience and leadership capabilities. Don't be shy about sharing your successes!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science and how you can contribute to our team. Be genuine and let your personality shine through. We love seeing enthusiasm for the work we do!
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 on joining our team at Artefact!
How to prepare for a job interview at Artefact
✨Know Your Data Science Stuff
Make sure you brush up on your advanced data science concepts and machine learning techniques. Be ready to discuss specific models you've implemented, like time-series forecasting or NLP, and how they solved real business problems.
✨Show Off Your Leadership Skills
Since the role involves supervising team members, be prepared to share examples of how you've led projects in the past. Talk about how you defined technical deliverables and managed timelines, as well as how you mentored others in best practices.
✨Get Familiar with MLOps Tools
Artefact values experience with MLOps tools, so make sure you can discuss your hands-on experience with orchestration, hyper-parameter tuning, and automated model retraining pipelines. Bring examples of how you've used these tools in previous projects.
✨Cloud Knowledge is Key
With a focus on cloud technologies, be ready to talk about your experience with major providers like AWS or Azure. Discuss any app deployments, database services, and your understanding of CI/CD processes. This will show you're well-versed in modern cloud solutions.