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- Tasks: Join us as a Senior Data Scientist, using Python to analyze and visualize data.
- Company: We're a dynamic start-up based in Gateshead, focused on innovative data solutions.
- Benefits: Enjoy flexible working, 25+ days holiday, and a modern, dog-friendly office.
- Why this job: Make an impact with your data skills while enjoying a supportive and fun work culture.
- Qualifications: 3+ years in Data Science, strong Python skills, and a relevant qualification required.
- Other info: Submit your CV and a short intro video to showcase your personality!
The predicted salary is between 50000 - 70000 £ per year.
Important information Please note – this role requires you to work from our Gateshead (North East UK) office for 2/3 (non-consecutive) days a week. Deadline for Applications: 2nd January 2025 Full-time, permanent, subject to a 6-month probationary period Starting salary of £50k-70k, depending on experience Flexible working, 37.5 hours per week – Core hours: 10 am to 4 pm, Monday to Friday Hybrid – Two to three days/week from our fantastic office in Proto, Gateshead The features we need to do that span skill sets and programming languages. As a Data Scientist, we need you to bring knowledge of algorithms, machine learning, and statistics to those features. You will need these data skills but also the ability to build them into reliable Python services with well-tested code. That might be rolling out new models or processes to analyse data, advising on the best way to visualise data, or working with Engineers to optimise analysis of big datasets. 3 years+ experience working in a Data Science or Data Engineering environment ~ Strong Python skills ~ Strong knowledge of Data Science/Machine Learning techniques ~ Experience with at least some of the database tech we use: AWS Aurora, BigQuery, MongoDB, ElasticSearch ~ Some kind of Data Science qualification MLOps knowledge, we use AWS ECS with Docker containers to host Python services and for model inference or BigQueryML Previous experience working for a start-up or building SaaS 25 days holiday plus bank holidays with additional days rewarded for long service up to a maximum of 30 days ~ Modern, light, dog-friendly office in Proto on the Newcastle-Gateshead quayside ~ Training & development budget ~ Work laptop (Mac) and home-office equipment if needed ~ How to Apply – CV and Introductory Video ai along with a short (5 min max!) introductory video, explaining: A little about you—what kind of person are you at work and away from it? We’re not after Hollywood production standards—an uncut phone video is absolutely fine—and we get that not everyone is an extrovert.
Data Science Data Science Senior Data Scientist (Python) (Remote) employer: Wordnerds
Contact Detail:
Wordnerds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote)
✨Tip Number 1
Make sure to showcase your experience with Python and any relevant data science projects you've worked on. Highlight specific algorithms or machine learning techniques you've implemented, as this will demonstrate your technical expertise.
✨Tip Number 2
Since the role involves collaboration with engineers, emphasize your teamwork skills and any past experiences where you successfully worked in cross-functional teams. This will show that you can effectively communicate and collaborate in a hybrid work environment.
✨Tip Number 3
Prepare for the introductory video by thinking about how to convey your personality and work style. Be authentic and let your passion for data science shine through, as we value genuine connections over polished presentations.
✨Tip Number 4
Familiarize yourself with the database technologies mentioned in the job description, such as AWS Aurora and BigQuery. If you have experience with these tools, be ready to discuss how you've used them in previous roles to optimize data analysis.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the requirements of the Senior Data Scientist position. Familiarize yourself with the necessary skills, such as Python programming, machine learning techniques, and experience with databases like AWS Aurora and BigQuery.
Craft Your CV: Tailor your CV to highlight your relevant experience in Data Science and Data Engineering. Emphasize your strong Python skills and any specific projects or roles that demonstrate your expertise in algorithms and data visualization.
Create Your Introductory Video: Prepare a short introductory video (max 5 minutes) where you share a bit about yourself, both professionally and personally. Keep it authentic and relaxed; a simple uncut phone video is perfectly acceptable.
Submit Your Application: Once your CV and video are ready, submit your application through our website. Ensure all documents are complete and check for any errors before hitting send.
How to prepare for a job interview at Wordnerds
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented algorithms or machine learning techniques, and be ready to explain your coding process.
✨Demonstrate Your Data Science Knowledge
Make sure to brush up on key data science concepts, especially algorithms, machine learning, and statistics. Be ready to discuss how you've applied these concepts in real-world scenarios, particularly in a Data Science or Data Engineering environment.
✨Prepare for Technical Questions
Expect technical questions related to the database technologies mentioned in the job description, such as AWS Aurora, BigQuery, MongoDB, and ElasticSearch. Familiarize yourself with these tools and think of examples where you've used them effectively.
✨Be Authentic in Your Introductory Video
The introductory video is your chance to show who you are beyond your resume. Be genuine and share a bit about your personality, work style, and interests. Remember, they value authenticity over production quality, so just be yourself!
