Graduate Data Science Trainer


Premium Job From QA

Recruiter

QA

Listed on

12th September 2018

Location

E1W

Salary/Rate

£28000 - £30000

Type

Permanent

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Have you ever wanted a career in technology? Considered training other people? QA are looking for digitally curious individuals to join our Trainer team. QA will help you realise your potential and invest in you as part of a structured programme of learning and mentorship.

You will become a Data Science Trainer following an extensive 12 to 16 weeks programme in our Manchester based Training Academy.

You will have a background in mathematics and statistics and be interested in becoming a data scientist. In return, QA will outfit you with a set of technical, research and teaching skills in your new career.

You will have:

- Good communication and interpersonal skills - be able to form a rapport quickly with people and make them feel comfortable; ability to break down complex scenarios into simpler chunks and explain them

- A Bachelor’s Degree (ideally in a STEM-related subject)

- Be geographically flexible - the role is London based with UK wide travelling

- Enthusiasm for life-long learning - both for themselves and in others

- Adaptive - be able to think on your feet when things go wrong or when removed from your comfort zone

- Reflective - Be empirical in your practice and analyze how to improve your delivery/materials

- Be numerate and literate to a high level

Key skills:

- Substantive Experience in A Level Mathematics or Equivalent

- Experience with one or more Programming Language - preferably Python or R

- Substantive Experience with Relational Databases

Nice to Have:

- Professional use of Programming in Python, R, Scala

- Professional Use of Neo4j, Hadoop

- Substantive Experience in A Level Statistics or Equivalent

You will learn:

- Equivalent to Undergraduate Linear Algebra, Multivariate Calculus, Statistics,

- Equivalent to Professional in Python, R, Scala

- Equivalent to Professional in NoSQL Databases

- Equivalent to Graduate-Level Data Science

- Selection Process: following an initial telephone screening you will complete an aptitude test (online) and attend an assessment day.

If you were successful, you will join our Manchester based Training Academy for a 12 weeks subject based course. Following the successful completion of the course you will get additional training skills coaching and training that will take up to four weeks and could be based anywhere in the UK.

Our Company: QA is one of the largest learning services organisations in the UK, developing skills and capabilities for everyone from apprentices to business leaders. Headquartered in London, but with a nationwide network of state-of-the-art training centres, QA Group is comprised of four fast-growing divisions- QA Learning, QA Apprenticeships, QA Consulting and QA Higher Education- all of which deliver innovative and cutting edge skills solutions to UK organisations.

Our benefits and values:

Learning is not just a service we provide, it’s a way of life at QA, so everyone is eligible for 3 Training Days every year, to focus on subjects they’re interested in.

We offer 2 paid Charity Days each year to support your chosen charity in whatever way you choose AND if you get involved in charity fundraising, QA will also double any sponsorship money raised, up to £250.

Recharge your batteries and enjoy some down time, so we provide a fairly generous 25 days’ holiday per annum (rising to 28 days after 3 years) - with the option to buy more if you wish.

It’s important, too, to plan for the future and our later years, so we offer a defined contribution pension plan and will match your contributions up to a maximum of 3% of your basic salary.

Giving peace of mind we provide by Life Assurance (4x your basic salary) and Permanent Health Insurance (after a qualifying period) in the event that ill health, or worse, disrupts our plans.

And finally, a few fringe benefits to assist with travel and lifestyle choices: Season ticket loan, Discounted gym membership, Cycle to work scheme

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