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For Companies At a Glance
- 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.
- Why this job: Make a real impact with cutting-edge technology while mentoring future data scientists.
- Qualifications: Bachelor's or Master's in a quantitative field and experience in team leadership.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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
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 Scientist in London employer: Artefact
Contact Detail:
Artefact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨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.
✨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 have examples ready to demonstrate your expertise.
✨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 our team at Artefact.
We think you need these skills to ace Senior Data Scientist in London
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 catch our eye!
Showcase Your Projects: Include specific examples of projects you've led or contributed to, especially those involving complex data science solutions. We love seeing how you've tackled real-world problems with your skills!
Keep It Clear and Concise: While we appreciate detail, make sure your application is easy to read. Use bullet points and clear headings to help us quickly find the information we're looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Artefact
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and MLOps tools. Be ready to discuss specific projects where you've implemented complex models or cloud solutions, as this will show your hands-on experience.
✨Showcase Leadership Skills
Since the role involves supervising team members, prepare examples of how you've led projects in the past. Highlight your ability to define tasks, manage timelines, and present updates to stakeholders, as this will demonstrate your leadership capabilities.
✨Understand the Business Context
Artefact works with a variety of industries, so do some research on their clients and the types of problems they face. Being able to relate your data science solutions to real-world business challenges will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data science and AI. This shows your genuine interest in the role and helps you gauge if Artefact is the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
