Who we are
We are MPB, the largest global platform for used photography and videography equipment. Our platform transforms the way that people buy, sell and trade in photo and video kit. MPB is a destination for everyone, whether you’ve just discovered your passion for visual storytelling or you’re already a pro.
MPB has always been committed to making kit more accessible and affordable, and helping to visualise a more sustainable future. We recirculate more than 485,000 items of used kit every year, extending the life and creative potential of photo and video equipment for creators around the world.
Headquartered in the creative communities of Brighton, Brooklyn and Berlin, the MPB team includes trained camera experts and seasoned photographers and videographers who bring their passion to work every day to deliver outstanding service. Every piece of kit is inspected carefully by our product specialists and comes with a six-month warranty to give our customers peace of mind that buying used doesn’t mean sacrificing reliability.
MPB has raised multiple rounds of venture capital and private equity funding, most recently £50m Series D in April 2021, and is listed in The Sunday Times Tech Track 100.
We recognise the benefit of inclusive practices to better build a diverse community here at MPB. Our commitment to ensuring inclusion fuels and connects us as one with the diverse community of visual storytellers that we serve.
MPB customers come from all walks of life, and so do we. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of family makeup, race, sexuality, religion, gender identity, disability or age. At MPB, every employee has the opportunity to make an impact and grow.
The Opportunity:
In this role, you will be working alongside the Senior Data Scientist to scale and elevate our current and future Data Science Data Products.
Key Responsibilities:
Immerse yourself in our Pricing Optimization model approach. Help build improvements and understand, troubleshoot, and maintain the end-to-end process.
Hands-on machine learning model development. Understand the nuances of the data gathering process and make modelling and data processing choices considerate of this.
Own and contribute to our Data Science products. Suggest techniques, feature engineering, and deployment improvements. Collaborate effectively within a modern DS team using JIRA and version control best practices.
Explore new Data Science opportunities. Conduct experiments, adapt approaches, and ensure scalability and deliverability
Produce accessible and digestible outputs from ML products. This could be presenting findings in an accessible and concise way, designing Tableau dashboards to surface interactive predictions, delivering batch predictions or building API endpoints to serve online inference.
Who you are:
Someone who already has a good theoretical background in Data Science techniques with a broad understanding of the most common approaches
Ideally, you will have some commercial experience with an eagerness to learn and adapt in a fast-paced environment. You will apply critical thinking, design thinking, and pragmatism in this role.
Someone who takes ownership of their projects and brings creativity, flexibility and enthusiasm to improving the deliverables
Required Skills:
A solid understanding of the breadth of Data Science techniques and which are more appropriate for different types of business problems.
Good competency in Python and SQL essential. Familiarity with different ways of working with Python and data desirable - e.g. virtual environment and dependency management, writing scripts and programs vs coding in Jupyter notebooks, working locally vs in cloud vm. Competency in transferable software engineering techniques like version control, CICD, software design patterns desirable.
Familiarity with common ML packages, particularly scikit-learn and XGBoost or similar. Deep learning experience (e.g. Pytorch or Tensorflow) beneficial but not required
Relentless appetite to learn and adapt techniques to business context. Prioritising adding value when shortlisting approaches. A focus on efficient data problem solving, be keen to deploy the most effective solution for the opportunity and have maturity in deciding where effort is spent
Familiarity with GCP or alternatives like AWS highly desirable, bonus points for MLOPs elements such as vertex and cloud functions.
Demonstrate a good understanding of the end to end deployment and management of Data Science products such as models. Ideally have experience owning or significantly contributing to production DS products but understanding the theoretical approach also valid with a desire to learn
Great communication skills essential - be able to present outputs and updates of projects to varied audiences, adapt communication style and have influence over the stakeholders
Benefits at MPB
For our full list of benefits, please check out our 'UK Benefits' section of the career page. Here are a few of the perks on offer here:
- 25 days annual leave + bank holidays
- 4% employer contributory pension scheme
- Private healthcare
- Flexible hybrid working options
- Access to EAP with a range of employee discounts
- Dog friendly workplace.
- Bespoke Learning Management System - the MPB 'Learning Lab' with access to thousands of free courses to upskill in any areas you'd like; whether personally or professionally.
- 2 volunteer days for charity which aligns with MPB values
