ML Product Specialist (Graduate) – Hybrid, London

ML Product Specialist (Graduate) – Hybrid, London

Full-Time 28800 - 48000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Assist with customer projects on a cutting-edge machine learning platform.
  • Company: Market-leading software technology firm in London.
  • Benefits: Competitive salary, excellent training, and career progression.
  • Other info: Hybrid working model with opportunities for growth.
  • Why this job: Join a dynamic team and work on innovative machine learning projects.
  • Qualifications: 2.1 degree in STEM or Law, basic Python knowledge, and sales spark.

The predicted salary is between 28800 - 48000 Β£ per year.

A market-leading software technology firm in London is looking for a Product Specialist to join their team. In this role, you will assist with customer projects on a cutting-edge machine learning platform.

Responsibilities include:

  • Liaising with clients and internal teams
  • Managing live projects
  • Providing training

Applicants should have:

  • A 2.1 degree in a STEM or Law discipline
  • Basic Python knowledge
  • A sales spark

Excellent training and career progression are offered, along with a competitive remuneration package.

ML Product Specialist (Graduate) – Hybrid, London employer: RedTech Recruitment

Join a dynamic and innovative defence AI firm in Saffron Walden, where you will play a crucial role in shaping the company culture and driving impactful HR practices. With a strong emphasis on collaboration and employee growth, this fast-paced environment offers unique opportunities for professional development and the chance to make a meaningful contribution to the company's success.

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Contact Details:

RedTech Recruitment Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land ML Product Specialist (Graduate) – Hybrid, London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like RedTech Recruitment!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Product Specialist (Graduate) – Hybrid, London at RedTech Recruitment.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like RedTech Recruitment.

✨Apply Directly through Our Website

When you find a suitable opening like ML Product Specialist (Graduate) – Hybrid, London at RedTech Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace ML Product Specialist (Graduate) – Hybrid, London

Customer Liaison
Project Management
Training Delivery
Basic Python Knowledge
Communication Skills
Sales Skills
STEM Knowledge

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at RedTech Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at RedTech Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at RedTech Recruitment

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at RedTech Recruitment!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.