Data Scientist
Employment Information
We are looking for an experienced Data Scientist to join our global Data Science and Analytics department. As a part of the Research & Development team within Data Science and Analytics, you will [have the opportunity to represent our London colleagues and stakeholders while you] partake in hands-on development of new and novel data solutions in collaboration with a small, but experienced group of data scientists. This is an exciting opportunity to work on ground-up innovation for Market Research across multiple industries including, but not limited to: Consumer Packaged Goods, Beauty and Personal Care, Financial Services and Technology.
You should come into this role with a few years of data science and/or research experience under your belt as you will be expected to manage individual projects with minimal direction, proactively seek feedback, be an advocate within Mintel for data science, and be adaptable to new information or priorities. Holding an advanced degree in a STEM or other quantitative discipline is preferred.
This is a hybrid role and is expected to be available to work from Mintel’s [London/Belfast] offices twice a week. This role has a line manager in Northern Ireland and collaborators in London and the USA. The ability and willingness for occasional travel to these locations is preferred.
What You Will Be Doing:
- Building positive relationships with stakeholders in order to help identify new opportunities to advance Mintel’s offerings through data
- Iterating and experimenting on new data solutions, with a fail-fast, value-driven mindset; focusing on delivering tangible impact to end users
- Working with your peers and engineering teams to build solutions into production, manage or improve on live models hosted in our evolving Machine Learning platform
- Working collaboratively with multiple groups within Mintel including our Product Development and Commercial teams. You will work on both longer-term, strategic research projects and short-term, revenue generating or ad-hoc requests and will occasionally be client facing.
- Assisting in driving the advanced analytics capabilities at an organization focused on gleaning insights from data
- Accessing a variety of interesting data sources spanning multiple industries and used by a variety of high profile customers
- Gaining exposure to a variety of interesting data science applications from language and images to time series and creative applications of data mining principles
- Continually learning - as a part of a fluid, innovation focused team, you will stay current on emerging data science technologies and other quantitative techniques
What We Are Looking For:
- A Collaborator: You bring an energy to the table that encourages and develops internal relationships. You seek out opportunities to collaborate with peers in your department and across the organization.
- Naturally Curious: You are naturally curious, looking for new opportunities or technologies that could elevate yours or others work.
- Tech-Savvy: You should be proficient in performing repeatable research, data manipulations, data visualizations and machine learning model development in Python. You have practical experience in SQL and the ability to find insight in complex and/or imperfect data. Hands-on experience working in a distributed cloud environment such as AWS, GCP or Azure is an advantage. You will work alongside data analysts and so will ideally have experience with modern BI platforms (Tableau, Looker, PowerBI, etc.), Looker preferred.
- Data-Driven: You have the ability to execute across the data analytics lifecycle from requirements gathering through technical analysis to delivery and are able to rapidly organize information, draw conclusions, identify patterns, and succinctly communicate key points and translate your knowledge visually.
- Great Communicator: You are an effective communicator who can discuss difficult technologies while also focusing on the audience to tailor discussions.
- Committed to Personal Growth: You are committed to continuous learning and growth, constantly pushing yourself outside of your comfort zone to develop your skill set.
- Commercially-Minded: You are dedicated to quality, ensuring accuracy and efficiency in your work to elevate our products.
- Humble: You are humble, yet confident. You willingly admit when you need help, and you know how and when to utilize the resources and people around you. You are also willing to share your own knowledge for the benefit of the team.
- Self-Directed: You take initiative to solve problems and uncover opportunities, and you are eager to take ownership and accountability for the growth of our products.
Share this
Similar medium level jobs
Join our newsletter to get monthly updates on data science jobs.
