Junior Data Scientist

London, United Kingdom
| Posted on 03/13/#####
At SHARE, we love helping brands improve relevancy with the people that matter. We do this by mixing pioneering research and technology with strategy, creativity and performance to create solutions, messages and experiences that mean more.
Weʼre hugely experienced at doing this on social media and digital channels, but weʼll create new products, run TV ads, put up billboards, climb mountains and create events whenever we feel itʼs the right, and relevant, thing to do.
SHARE is made up of some of the brightest, independent and pirate minds in the industry and has a client list that includes Microsoft, Mercedes AMG and The North Face. We might come from different backgrounds and have different experiences, but we are bonded by a joint mission to create work that leaves a legacy. Together, we believe in Being Helpful, Defying Expectations and Enjoying The Journey.
Mission:
As a member of the Data Science team, you will utilise a strong analytical mindset and solid programming skills to provide insight to our internal strategy and creative teams and directly to our wide range of clients. The two primary agency brands within our network youʼll be supporting are SHARE (for the brand strategy) and Capture (for the direct to client research).
Job Functions:
Implement our own intelligence suite of deep learning, NLP, and forecasting tools and analyse and communicate the resulting insights in a way that addresses our clientsʼ challenges, and ultimately, their success
Use a variety of data science methods to design and deliver cutting edge research into consumer brands and products.
Methods includes modelling, building language classifiers, a bit of predictive analytics, dimension reduction. We do a bit
of everything.
Work closely with the Global Data Product Manager to feed into and support the development of our internal package suite
Develop an understanding of the connection between our analytic techniques, social media strategy, and operational processes – how do we make statistics easy to digest for business stakeholders and marketeers? Requirements Hard Skills:
We programme mainly in R (with some other languages thrown in), so the role is ideal for a recent graduate seeking to get into data science or an analyst with some knowledge of R striving to develop their data science skills.
The role will require a mix of skills, with some computer science knowledge for the development of function writing and package deployment in the machine learning and NLP workspace, but also social science and research skills to present results in a way that answer business and research questions.
Soft Skills:
Analytical mindset
Learning Agility
Passion
Commitment
Academic Background:
Bachelor's or Master's degrees in Computer Science, Statistics, Mathematics, Economics or relevant STEM discipline
Languages:
English Advanced C1-C2
Flexible hybrid working
Quarterly company nights out
Employee assistance programme
Healthcare cashplan benefit
Gympass
Training Scheme
SHARE CaresThere’s nothing more influential than a diverse and inclusive team. That’s why we’re committed to providing equal opportunities and inspiring a workplace for all genders, abilities, religions or beliefs, identities, ethnicities and beyond. We want every individual that walks through our door to be themselves. To feel respected for who they are. To challenge us so that we can be better tomorrow.If you need any assistance or adjustment during the process, please let us know at any point during the application.
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