Junior Data Scientist
Freemavens, United Kingdom
Job Description
We’re a pioneering insight and strategy consultancy; equipping changemakers by charting new paths to growth in a dynamic and unpredictable world. We scout ahead of the curve by integrating diverse datasets, innovative analytics amp; data science to reveal insight, empathy and opportunity and set out growth strategies that inspire progress with confidence amp; agility.
We’re proud to partner with some of the world’s most iconic global brands to drive sustained growth; Unilever, Haleon, Pernod Ricard, LEGO, Coca-Cola, and L’Oréal.
Requirements
It is an exciting time to join the Award-winning Data Science team at Freemavens. Due to recent successes, the business is keen to invest in an enterprising individual at the start of their journey into the Data Science field who has a passion for interrogating data and problem-solving.
In this role you would be an integral member of a small Data Science team, helping to deliver world-class solutions that answer the changing needs of our diverse client base, including FMCG, financial services, healthcare, and retail businesses.
The work is varied and interesting, from creating novel methodologies to answer business questions, to data gathering, modelling, and building out tools that help our Analytics team deliver their work.
As a Junior Data Scientist your key responsibilities will include (but are not limited to):
- Working on 1 to 2 client projects at any given time, depending on size and complexity.
- Collaborating with the wider business to develop new methodological offerings or products.
- Collaborating with the rest of the Data Science team, contributing to the Ramp;D pipeline and internal tools development.
WHAT YOU KNOW amp; DO
- Proficient knowledge of Python is required, as well as an in-depth working knowledge of Excel and Git Version Control.
- Data aggregation amp; cleaning: the ability to gather (via API and Web Scraping), manipulate, and cleanse data from a wide range of sources to enable further analysis.
- Analysis: the ability to undertake exploratory data analysis, such as trend decomposition, to understand the data landscape before moving on to more complex tasks.
- Insight application: the ability to demonstrate critical thinking when assessing client briefs, and understanding the role of data science in not only delivering what is required but also any possible value-add opportunities.
- Quality: the ability to write clean, replicable, and functional code that adheres to internal standards.
- Communication: the ability to effectively engage with stakeholders of varying levels of knowledge or experience of Data Science techniques and being able to describe harder statistical concepts to a broad audience.
- Time management: the ability to multi-task and manage your time effectively when spread between multiple projects, promptly flagging setbacks or delays where necessary.
DESIRABLE SKILLS
- A degree in a quantitative field, or relevant Data Science experience.
- Experience in Machine Learning methodologies, including neural networks and gradient boosting decision trees.
- Experience building within the Flask web framework.
- Experience with using Virtual Machines, particularly in a Microsoft AZURE Basic knowledge of Linux.
- Experience with data visualisation techniques and libraries such as matplotlib, Plotly, or seaborn.
- Experience with image analysis or computer vision techniques.
HOW WE WORK
- Teamwork: you should work well within a small team, contributing to the innovation-focussed culture that we are developing.
- Problem Solving: you are a proactive problem-solver who enjoys brainstorming sessions, solution mapping, and discovering pain points for both the Data Science team and the wider business.
- Personal Development: you must demonstrate initiative towards growth and self-development, actively seeking out areas where you can improve on a technical or professional basis.
- Inquisitiveness: you should be eager to keep up to date with changes in the Data Science field and the wider world of Digital Marketing, keeping abreast of new data sources, solutions and methods, and considering if they can be integrated into our own processes and workflows.
Benefits
Inclusiveness amp; Wellbeing
- 28 days of holidays on top of bank holidays.
- Enhanced maternity/paternity/adoption leave after you've been in the company for a year.
- Central London office with a relaxed environment, e.g. comfy break out areas, a fully stocked kitchen wit