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What initially drew you to the world of data?
My experiences at school and university are what drew me to the world of data. During school, I joined a lunchtime Raspberry Pi club which introduced students to programming. At university, my final year dissertation was on financial time-series, which analysed ten years’ worth of stock data using R. I was amazed by the proficiency of the programme and wanted to learn more about what can be achieved through data.
What drew you to Kubrick Group in particular?
My ambition was to secure a role within the data industry and unlike other consultancies, Kubrick doesn’t expect you to come armed with all the skills. Instead, they hire based on your analytical and problem-solving abilities, communication skills and passion to excel in the data field. Kubrick then develops you both technically and professionally into a Data Engineer or Data Governance expert, through a blend of in-house training and exposure to exciting client projects.
My experience of the assessment centre was also very positive, and this strengthened my belief that Kubrick would be a great place to build a career in data. The whole team at Kubrick were friendly and made me feel at ease; giving me a clear overview of who they are as a business and what being a Kubrick consultant would entail.
Since then, I have been presented with opportunities that I wouldn’t have been able to obtain alone, and that is the unique and exciting thing about Kubrick Group. The time spent in the Data Lab, albeit intense, was worth it as it meant I began my first client project already equipped with the skills and confidence needed to excel.
In your opinion, how can the data world be more inclusive of women?
I think the main issue is awareness. From a young age, certain professions are targeted towards females and we are subsequently pushed in a particular direction without even realising it. I was fortunate enough to have gone to an all girls’ school specialising in science and as a result, was exposed to predominantly STEM subjects very early on. Only at university did I realise that the ratio of male to female was significantly imbalanced.
If we want to counteract this imbalance, computer science should be offered as a GSCE and data must be given as much importance as biology, physics and chemistry. By introducing females to technical subjects at a younger age, we can encourage them to pursue a career in data when they previously wouldn’t have even known about its existence.
Those of us already within the data industry can also have an impact on future generations through our actions. We should be attending more meetups and acting as mentors for younger women looking to enter the field.
There is also more that can be done from an organisation-wide perspective. A company’s quest for inclusivity can’t just be about filling a quota. Here at Kubrick Group, we understand the importance of a heterogeneous data team as a lack of diversity inhibits creativity and often leads to biased results. This mindset is reflected through our inclusive and collaborative culture, and through our diversity initiative; Data Inclusive.
Posted on May 31, 2019