At a Glance
- Tasks: Lead innovative AI projects and develop cutting-edge data solutions.
- Company: Join a forward-thinking company offering free training and career opportunities.
- Benefits: Enjoy competitive benefits and a chance to work remotely with flexible hours.
- Other info: 100% free learning linked to job roles with no hidden fees.
- Why this job: Kickstart your career in data science with free training and real-world impact.
- Qualifications: 1.5+ years in tech, Python skills, and commitment to a 16-week course.
The predicted salary is between 63000 - 77000 £ per year.
This is a free training course followed by the potential for a role with one of our clients.
- Title: Data Scientist
- Job location: Remote, UK (1 day per fortnight in London or Manchester)
- Description
These job roles are linked directly to free education, and upon completion of our course, you will be equipped to start your new role.
WHAT ARE WE LOOKING FOR?
- 1.5+ years of experience in a technology-focused role using Python
- Able to pass a technical assessment in Python, Java or Javascript
- Commitment to complete a 16-week, part-time course to develop your mid-level skills
THE ROLE
Our clients are looking for Data Scientists to join their team.
KEY RESPONSIBILITIES
- Lead Generative AI Initiatives: Take technical ownership of high-profile Gen AI projects, guiding initiatives from ideation, innovation, and proof of concept (Po C) through to Minimum Viable Product (MVP) and enterprise-scale deployment.
- Technical Innovation & Experimentation: Drive work within the Ideation pillar by prototyping, testing, and evaluating novel Gen AI concepts and machine learning techniques to determine scalability and business value.
- Senior Collaboration & Governance: Work closely with the Chief Data Scientist to align technical strategy, receive mentorship, and ensure rigorous quality assurance across all project deliverables.
- Cross-Stakeholder Delivery: Serve as a core technical liaison between programme teams and key stakeholders to translate complex requirements into actionable AI solutions.
- High-Impact
Execution: Maintain exceptional standards of technical excellence, model evaluation, and documentation on high-visibility projects spanning two major enterprise organisations.
KEY REQUIREMENTS
- Full AI Project
Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments.
Excellent communication and stakeholder management skills.
- Advanced
- Analytics
Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as Tensor Flow, Py Torch, Keras, or Hugging Face.
- NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
- AI Solution Development: Experience in architecting and delivering AI solutions using cutting-edge technologies, including tools like Git Hub Copilot and Amazon Code Whisperer.
- Cloud Platforms and
Services: Familiarity with cloud platforms (e. g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and No SQL databases (SQL, Postgre SQL, DB2, Mongo DB).
100% FREE LEARNING LINKED TO JOB ROLES
All of our courses are 100% free for all students.
There are no secret or hidden fees, no payment upon completion, and no debt.
We work with our partner companies to ensure this education is free for all learners.
Benefits
- Benefits - vary per client, but are competitive.
- #J-18808-Ljbffr
Data Scientist employer: Code First Girls
Code First Girls is an exceptional employer that champions inclusivity and professional growth, making it a rewarding place for experienced Java developers to contribute as technical coaches. With a commitment to addressing gender imbalance in tech, the company fosters a supportive remote work culture that values mentorship and collaboration, offering flexible freelance opportunities that empower coaches to shape the future of aspiring software engineers. Join us in making a meaningful impact while enjoying the freedom of remote work across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Code First Girls will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Code First Girls
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Code First Girls.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Code First Girls that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
