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Software Engineer - OUTSIDE IR35

London
£400 - £500 per day

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SOFTWARE ENGINEER - OUTSIDE IR35
£400-£500 PER DAY
3 MONTH CONTRACT
FULLY REMOTE

As a Software Engineer you will have the chance to work for ecommerce company using Python extensively to focus on buidling ML products.

THE COMPANY:

As a Software Engineer, you will be working for a leading e-commerce company. You will be working alongside other Data Engineers and Data Scientists in a fast paced environment.

THE ROLE:

As a Software Engineer, you will you will be using Python extensively. Therefore as a Software Engineer you must be extremely skilled in Python, familiar with data science libraries as well as Flask. As a Software Engineer experience in AWS is also preferable. As a Software Engineer you should be familiar with tools such as Docker and Kubernetes for deployment.

YOUR SKILLS AND EXPERIENCE:

The successful Software Engineer will have the following skills and experience:

  • Extensive experience with Python/Flask
  • Good knowledge of AWS
  • Good understanding of Kubernetes/Docker
  • Previously worked alongside Data Scientists

THE BENEFITS:

  • A chance to work on important projects

HOW TO APPLY:

Please register your interest by sending your CV to Anna Greenhill via the Apply link on this page.

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921461/AG
London
£400 - £500 per day
  1. Contract
  2. Big Data

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How Are Data & Analytics Professionals Mapping COVID Trends With Data?

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Amy Topcakan

Amy Topcakan

25. February 2021

News

Using Data Ethically To Guide Digital Transformation

Over the past few years, the uptick in the number of companies putting more budget behind digital transformation has been significant. However, since the start of 2020 and the outbreak of the coronavirus pandemic, this number has accelerated on an unprecedented scale. Companies have been forced to re-evaluate  their systems and services to make them more efficient, effective and financially viable in order to stay competitive in this time of crisis. These changes help to support internal operational agility and learn about customers' needs and wants to create a much more personalised customer experience.  However, despite the vast amount of good these systems can do for companies' offerings, a lot of them, such as AI and machine learning, are inherently data driven. Therefore, these systems run a high risk of breaching ethical conducts, such as privacy and security leaks or serious issues with bias, if not created, developed and managed properly.  So, what can businesses do to ensure their digital transformation efforts are implemented in the most ethical way possible? Implement ways to reduce bias From Twitter opting to show a white person in a photo instead of a black person, soap dispensers not recognising black hands and women being perpetually rejected for financial loans; digital transformation tools, such as AI, have proven over the years to be inherently biased.  Of course, a computer cannot be decisive about gender or race, this problem of inequality from computer algorithms stems from the humans behind the screen. Despite the advancements made with Diversity and Inclusion efforts across all industries, Data & Analytics is still a predominantly white and male industry. Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. 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