Postet i: Ingeniørvæsen i Sheffield | Sendt: |
Role: Data Scientist
Location: Hybrid, one day a week in Sheffield
Salary: Between £40-60k
Not all Data Scientist roles are equal – you know this. Some involve working in large, slow-moving companies that are trying to pivot to AI and ML. They’re OK, but they’re just soooo slooooow.
Others involve working in excitable, fast-moving start-ups where the tech and culture are amazing, but you’re only ever a month away from potentially losing your job…or getting promoted! The future is just too uncertain for your liking (and your rent/mortgage/Deliveroo payments)
Then there are roles with companies like the one we are recruiting for. An established, profitable young business who have struck a goldmine of an idea, and already have customers queuing up to sign on the dotted line.
They have developed a data-led product that is going to revolutionise their sector, and the orders are coming in thick and fast from major global players who they’ve worked with for years.
You’ll be joining a new data science team that is likely to grow further over the next 12 months.
The role will involve using various statistical / machine learning techniques to drive insights from large, complex datasets on behalf of their customers.
You’ll need to be a dab-hand at data analysis and visualisation, and will likely have used Python, R and SQL in your current or previous roles.
Any exposure to ML models and/or Cloud tools such as Azure Databricks would be advantageous.
The role would be based mainly from home with travel into Sheffield once a week, so ideally you will drive.
If this sounds like something worth discussing further, apply or get in touch with us at Rebel Recruiters!
The company are likely to grow further, so if you are an experienced data scientist who would prefer a more senior role please apply anyway stating your salary expectations.
Please note: All UK-based applicants will be given a guaranteed reply.
We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background
