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- Tasks: Drive data insights and develop machine learning models using Python or R.
- Company: Dynamic consulting firm with a focus on innovation and data-driven solutions.
- Benefits: Flexible hybrid work, competitive salary, and potential for permanent position.
- Why this job: Join a forward-thinking team and shape the future of data science and AI.
- Qualifications: Experience in data analysis, statistics, and visualisation; Python/R proficiency required.
- Other info: Opportunity to work with Generative AI and LLM development.
The predicted salary is between 60000 - 80000 £ per year.
A consulting company is looking for a seasoned Data Scientist to work on a hybrid basis, with 2-3 days in London and remote work. The role demands several years of experience in driving data insights and a strong grasp of statistics and data visualisation. Proficiency in Python and/or R for data analysis is required. There is also a preference for candidates with experience in Generative AI/LLM development. This role transitions into a permanent position after 6 months.
Hybrid Data Scientist & ML Engineer — Python/R in City of London employer: Access Computer Consulting
Contact Detail:
Access Computer Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist & ML Engineer — Python/R in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and ML fields. Attend meetups or webinars, and don’t be shy about asking for referrals. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python or R, especially those involving data visualisation and Generative AI. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on your statistics and data analysis techniques. We recommend practising common interview questions related to data insights and machine learning. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team, so take that leap and submit your application today!
We think you need these skills to ace Hybrid Data Scientist & ML Engineer — Python/R in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data insights, statistics, and data visualisation. We want to see how your skills in Python or R shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this hybrid role. Share specific examples of your work with Generative AI or LLM development if you have them, and let your personality come through!
Showcase Your Projects: If you've worked on any interesting data projects, especially those involving machine learning, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Access Computer Consulting
✨Know Your Data Inside Out
Make sure you’re well-versed in the data projects you've worked on. Be ready to discuss specific examples where your insights drove decisions. This shows not only your technical skills but also your ability to translate data into actionable strategies.
✨Brush Up on Your Python and R Skills
Since proficiency in Python and/or R is a must, review key libraries and frameworks relevant to data analysis. Prepare to solve a coding challenge or discuss your approach to a data problem during the interview. Practice makes perfect!
✨Showcase Your Visualisation Skills
Data visualisation is crucial for this role, so be prepared to share examples of your work. Bring along a portfolio or screenshots of dashboards you've created. This will help demonstrate your ability to present complex data in an understandable way.
✨Stay Updated on Generative AI Trends
If you have experience with Generative AI or LLM development, make sure to highlight it. Discuss any relevant projects or research you've done. If you're not as familiar, do some quick research on current trends and applications to show your enthusiasm for the field.