Data Scientist {Music Tech Start-up

Cape Town
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Science Placement Programme

Data Science Placement Programme

Data Scientist {Music Tech Start-up}

Cape Town

R60,000 - R100,000 p/m + Company Benefits

Are you a number crunching Data Scientist looking to join a super disruptive music tech start-up who are just about to scale up?

Do you want to work in a company who have a solid backing and a product that really will go to market and be used by all the biggest names in the industry?

This innovative company is made up of intelligent, creative individuals who are on a mission to change the future of music, therapy technology as well as the world as we know it. Having already achieved huge success as a creative agency, they now have a rapid growth plan in place, with the view of building on the existing technology team to develop a product like no one has seen before.

On offer is a once in a lifetime opportunity for a highly skilled Data Scientist to use all their knowledge, ability and skills to make a real change in the way the world sees and hears music.

In this role you will be working in a small but growing team, responsible for building data acquisition and curation pipelines. You will assess and improve the effectiveness of existing data sourcing, build algorithms and design experiments to merge, manage, interrogate and extract data.

This role would suit an experienced Data Scientist who has a passion for data, numbers and mathematics.

Is this you…

The Role:

Building data acquisition & curation pipelines
Creating algorithms & design experiments to extract data
Apply new & existing data-driven models to enhance core business products & projectsThe Person:

Creative & independent Data Scientist
Experience in Data Science models, managing data and manipulating data
High level of technical communicationKeywords: Senior, Data Science, Data Scientist, Data Analyst, Analyst, Mathematics, Machine Learning, Software Engineer

If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV.

We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set.

Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.