Data Science Apprentice

Summary

You will join Insights and Innovation (I&I) working with our team of talented analysts, using techniques from data science, data engineering and data visualisation. You will be collecting, collating, analysing and presenting data back to a given customer area, from which they will make strategic decision to improve our customers experience.

Annual wage: £26,938 a year
Minimum wage rates (opens in new tab)
Training course: Data scientist (integrated degree) (level 6)
Hours: You will move through 3 different placements across the duration of the programme. Your working week will be Monday to Thursday, with Friday likely to be your study day. Shifts TBC.
37 hours a week
Possible start date: Friday 19 December
Duration: 3 years 6 months
Positions available: 5

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

·Develops models, metrics, and dashboards, using historic data and predictive analytics to improve decision making.

·Obtains data from a range of data sources.

·Develops knowledge of Commercial with an understanding of issues and processes to put data science solutions into practice.

·Manages own tasks as part of a project using good project and time management practices.

·Communicate with colleagues whether face-to-face, over the telephone or in writing, in an efficient and courteous manner, sharing relevant information when necessary.

Where you’ll work

Waterside

Harmondsworth

West Drayton

UB7 0GA

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

NORTHEASTERN UNIVERSITY-LONDON

Your training course

Data scientist (integrated degree) (level 6)

Equal to degree

Course contents

Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.

Your training plan

L6 Data scientist (integrated degree) Apprenticeship Standard

Requirements

Essential qualifications

GCSE in:

English and Maths (grade 9 - 4 (A* - C))
3 A Levels (to hold or be predicted to hold) (grade A minimum of 128 UCAS points)
Maths (grade B)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
IT skills
Attention to detail
Organisation skills
Problem solving skills
Presentation skills
Administrative skills
Number skills
Analytical skills
Logical
Team working
Creative
Initiative
Non judgemental
Patience

Other requirements

Essential: GCSEs in English and Maths at grade 9 -4 (A*- C) or equivalent.  As well as hold or be predicted to hold 3 A Levels totaling a minimum of 128 UCAS points (equivalent to ABB), with a minimum grade of B at A Level Maths, or equivalent.

About this company

At British Airways, we take huge pride in our past – but we’re looking to the future as an airline that loves embracing the best of modern Britain. Our country’s creativity, diversity, style, wit and warmth are the same special qualities that make us who we are. Now, we’re looking to build on this spirit and passion to make tomorrow even better. If you’re made the same way as us, discover how great it feels to connect Britain with the world, and the world with Britain like no one else.

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

On successful completion on your apprenticeship, we will look to support you into a role within the business.

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