Data Science Apprentice
- Independent skills
- Team work skills
- Organisational skills
- Good written and oral communication skills
- Excellent written and spoken English
- Logical and creative thinking skills
- Analytical and problem-solving skills
- Adaptability and flexibility
- Positive attitude and energy
- Mature, calm person
- Keen to learn
- A keen interest in business, coding and data science.
- Committed to studying at the same time as working. This is a great alternative to university and way to start your career.
To be an Data Science Apprentice you will need to be a data enthusiast with strong A-Level results: a “B” or above in either Maths, Science, IT or Computer Science; plus 2 “C” grades or above in any other subjects.
Minimum of 5 GCSE's at grade A to C (Grades 4 - 9 from 2017) including Maths and English, plus a science subject is also a preference.Future prospects The company offer: • A great opportunity to get started on a fantastic career that is becoming in demand • Working with a highly skilled and experienced team • A friendly and flexible working environment • A competitive salary and benefits plan • Full support towards your apprenticeship and progression Tech and digital professionals in London earn an average salary of £52,500 per year, so this Apprenticeship could be the start of a very promising and profitable career. AFTER THE APPRENTICESHIP Over 90% of our Apprentices move on to permanent full time employment in the tech industry. There are also opportunities to extend your training with a higher level Apprenticeship programme. Just IT have already helped over 1000 people kick-start their tech and digital careers with an Apprenticeship. Things to consider What is Data Science? The Data Science Unit has been created in direct response to the way the converging media and advertising market is moving. The team focuses on the increasing need for new analysis techniques and reflects the growing industry importance of Big Data, passive measurement technologies, complex modelling, visualisation, data integration and calibration methodologies. The concept of Data Science fits perfectly into our vision for growing our business in the future. Areas of expertise within the team include; computer programming, advanced stats and analytics, various modelling techniques, probability theory, data integration and fusion, Big Data processing, passive measurement, and complex survey design.