Data Scientist
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| Job Type | Permanent Full Time |
| Location | Home based/UK wide |
| Area | 134,152,180,232,190,200,206,231,207,210,211,220,222,233,234 |
| Sector | CharityManufacturingConstruction |
| Salary | £attractive plus bens |
| Start Date | ASAP |
| Telephone | 01793 734440 |
| Job Ref | 1193817 |
| Job Views | 96 |
- Description
- Data Scientist
- Machine Learning based models for clients and internal data teams
- Supporting clients solve problems with ML
- All delivered cloud based
- Delivering digital transformation to enterprise customers with cloud solutions
- High growth organisation with a fun and supportive culture
You will be working with clients to build Machine Learning-based models that help to deliver value for their organisations. Given that we're passionate about ensuring we build models that are delivered into production, you'll not only be prototyping, but with the help or team of data engineers and architects you'll also be advising and assisting clients on deployment.
Our clients come from many industries and are using ML to solve a variety of problems, so from project to project you will be making use of different approaches and methods from the Data Science playbook. What's common across all of our projects is that we develop and deploy on Cloud.
You are passionate about delivering value to customers and prized for going the extra mile. You're flexible and creative in your approach and prepared to make a difference. You're professional - fair, honest and committed. You're happy to travel/work from client sites and excited to get involved in the ‘next big thing' whatever that might be
In addition, as a Data Scientist you should be:
- Demonstrated ability to communicate technical concepts to a non-technical audience.
- Ability to take a business problem and design a technical solution to tackle the problem.
- Strong grasp of fundamental concepts of statistics and probability.
- Solid understanding of main machine learning algorithms for supervised and unsupervised learning including how they work, their advantages, limitations and uses.
- Excellent Python and SQL skills.
- Experience of working with machine learning frameworks such as tensorflow, scikit-learn and torch.
- Familiarity with Cloud ML tools and an understanding of principles of ML model productionization.
- Familiarity with version control (e.g. git) and with agile working practices.
What’s in it for you?
- Market leading package to attract best in class
- Being part of shaping an already highly successful business achieve greater heights
- Opportunity to operate within a fast-emerging market
Next steps
If this sounds like you, please send your CV to us today!
