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- Tasks: Join us as a Senior Data Scientist, working on algorithms and machine learning in a dynamic team.
- Company: We're a forward-thinking company based in Gateshead, focused on innovative data solutions.
- Benefits: Enjoy flexible working, 25+ days holiday, and a modern, dog-friendly office environment.
- Why this job: This role offers a chance to impact real projects while developing your skills in a supportive culture.
- 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!
The predicted salary is between 40000 - 60000 £ 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 (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 (Remote)
✨Tip Number 1
Make sure to showcase your experience with Python and any relevant data science projects in your introductory video. Highlight specific algorithms or machine learning techniques you've successfully implemented.
✨Tip Number 2
Since the role involves working with various database technologies, mention any hands-on experience you have with AWS Aurora, BigQuery, MongoDB, or ElasticSearch. This will demonstrate your technical fit for the position.
✨Tip Number 3
Discuss your familiarity with MLOps practices, especially if you have experience using AWS ECS and Docker containers. This knowledge is crucial for the role and will set you apart from other candidates.
✨Tip Number 4
In your video, convey your passion for data science and how you enjoy collaborating with engineers to optimize data analysis. This aligns with our team-oriented culture and shows that you're a great fit for our environment.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the requirements and responsibilities of the Senior Data Scientist 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 utilized Python, AWS, or other mentioned technologies.
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.
Review and Submit: Before submitting, review your CV and video to ensure they align with the job description. Make sure all information is accurate and submit your application through our website by the deadline.
How to prepare for a job interview at Wordnerds
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning algorithms, and data visualization techniques. Highlight specific projects where you've successfully implemented these skills, as this will demonstrate your capability to meet the job requirements.
✨Prepare for Behavioral Questions
Since the company values personality and teamwork, think about examples from your past work experiences that showcase your collaboration skills and how you handle challenges. This will help them understand what kind of person you are at work.
✨Familiarize Yourself with Their Tech Stack
Research the database technologies mentioned in the job description, such as AWS Aurora and BigQuery. Being able to discuss your familiarity or experience with these tools will show your readiness to hit the ground running.
✨Keep Your Introductory Video Authentic
When creating your introductory video, be yourself! Share a bit about your personal interests and work style. The company appreciates authenticity over production quality, so just relax and let your personality shine through.
