Junior Data Scientist at Medialab supporting media advertising insights through data science applications. Collaborating within a dynamic team to solve complex business problems with a data-driven approach.
Responsibilities
Work closely with businesses to identify issues that can be resolved using data solutions effectively for decision making.
Statistical methods to solve complex problems and study business performance.
Studying market trend data to understand the resulting impact on individual businesses.
Support the account management and planning teams across all facets of campaign measurement across media channels.
Develop automated data processes using SQL.
Ability to organise a variety of large data sets.
Undertake regular analysis and reporting for retained clients.
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
Working with the marketing effectiveness team and other senior business stakeholders to develop analytical propositions.
Applying and developing your data handling and analytical techniques to client projects including: multi-channel response attribution, retention/churn, customer lifetime value, customer engagement and segmentation.
Requirements
Highly numerate undergraduate studying a relevant degree in mathematics, statistics, economics or data science.
Theoretical understanding of statistical techniques such as regression and developing confidence measures.
Pre-requisite skills: Strong Excel and MS Office usage.
Strong data manipulation skills and a keen eye for detail.
Good communication skills.
Inquisitive analytical mind with a strong desire to find things out.
Pragmatic approach to problem solving.
Highly organised with strong attention to detail.
Confident and assertive in social environments.
Be a genuine team player whilst also being able to deliver on a task you are responsible for.
Good listener, articulate, persuasive, patient and resourceful.
Quick learner, pro-active mind set, resourceful, and able to think for self.
Positive attitude.
Logical thinker, with the entrepreneurial eye to identify opportunities.
Experience of coding in Python, R or SQL would be useful but not essential.
Benefits
Time to Unwind – 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme.
Hybrid Working – Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment.
Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support.
Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling.
Supporting Families – Enhanced parental leave, flexible working and life assurance.
Giving Back – Paid charity days and sustainability initiatives.
Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture.
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