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- Tasks: Join us as a Data Modeler, working with algorithms and machine learning to analyze big datasets.
- Company: We're a dynamic start-up located in a modern office in Gateshead, focused on innovative data solutions.
- Benefits: Enjoy flexible working, 25+ days holiday, training budget, and a dog-friendly office environment.
- Why this job: This role offers hands-on experience with cutting-edge tech and the chance to make a real impact.
- Qualifications: 3+ years in Data Science, strong Python skills, and familiarity with AWS and database technologies required.
- Other info: Submit your CV and a short intro video to showcase your personality—no Hollywood skills needed!
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 Data Modeler (Remote) employer: Wordnerds
Contact Detail:
Wordnerds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Data Modeler (Remote)
✨Tip Number 1
Familiarize yourself with the specific database technologies mentioned in the job description, such as AWS Aurora and BigQuery. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Since the role emphasizes MLOps knowledge, consider brushing up on your skills related to Docker containers and AWS ECS. Being able to discuss how you've implemented these technologies in past projects will demonstrate your readiness for the position.
✨Tip Number 3
Prepare to discuss your experience with machine learning algorithms and data visualization techniques. Think of specific examples where you've successfully applied these skills in a professional setting, as this will show your practical understanding of the concepts.
✨Tip Number 4
When creating your introductory video, be authentic and let your personality shine through. Share not only your professional background but also what makes you unique as a person. This will help us get a sense of who you are beyond your technical skills.
We think you need these skills to ace Data Science Data Science Data Modeler (Remote)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the requirements of the Data Science Data Modeler position. Highlight your experience with algorithms, machine learning, and Python in your application.
Craft Your CV: Tailor your CV to emphasize your relevant experience in Data Science and Data Engineering. Include specific projects or roles where you've utilized Python and database technologies like AWS Aurora or BigQuery.
Create Your Introductory Video: Prepare a short introductory video (max 5 minutes) that showcases your personality and work style. Be authentic and share a bit about yourself both professionally and personally.
Submit Your Application: Combine your CV and video into a single application package and submit it through our website before the deadline on 2nd January 2025. Ensure all files are correctly formatted and accessible.
How to prepare for a job interview at Wordnerds
✨Showcase Your Technical Skills
Make sure to highlight your strong Python skills and experience with data science techniques during the interview. Be prepared to discuss specific projects where you've applied algorithms, machine learning, and statistics.
✨Demonstrate Your Problem-Solving Ability
Prepare examples of how you've tackled complex data challenges in previous roles. Discuss your approach to optimizing analysis of big datasets and how you collaborated with engineers to implement solutions.
✨Be Authentic in Your Introductory Video
Since the application requires a short introductory video, be yourself! Share a bit about your personality and work style. Remember, they value authenticity over production quality.
✨Familiarize Yourself with Their Tech Stack
Research the database technologies mentioned in the job description, such as AWS Aurora, BigQuery, MongoDB, and ElasticSearch. Being knowledgeable about these tools will show your genuine interest in the role and readiness to contribute.
