About Us:
fifty-five is a new kind of data company that helps brands leverage data to improve marketing, media, and customer experience through a combination of specialised consulting and technology services.
As the data and marketing pillar of the Brandtech Group, we offer services that blend strategy consulting, cloud services, media consulting, and customer experience expertise.
fifty-five comprises more than 400 digital experts. Digital consultants, tracking and media specialists, engineers, and data scientists work closely together to deliver top-tier marketing advice and technical assistance to brands across various industries, globally.
A partner to advertisers in data collection, activation, and utilisation, we help organisations become true omnichannel entities, mastering the efficiency of their digital ecosystem and its synergies with the physical world.
Based in London, we operate across three time zones from our 10 offices located in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York.
About the Role:
Within the Data Science team, you will actively participate in projects carried out by fifty-five on behalf of its clients. These projects encompass the application of machine learning methods to optimise site conversion rates and enhance the performance of the digital media mix for leading advertisers.
As an ML Engineer, you must master machine learning techniques to address a wide range of use cases while considering client activation constraints. Innovation will be central to your work, as you continuously enhance the performance of fifty-five’s offerings and adapt to new tools and constraints (such as privacy considerations).
You will collaborate closely with Data Engineers and Data Analysts and will play a role in helping them develop their skills.
Tasks & Responsibilities:
- Design, develop, and maintain data science solutions for our clients (scoring models, time series models, attribution models, etc.).
- Conduct scientific research to foster innovation in daily projects.
- Implement data transformation and processing logic to ensure high-quality, reliable data is available for analysis and reporting.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal impact on business operations.
- Collaborate with internal consulting and client teams to understand data requirements and deliver data solutions that meet business needs.
- Effectively engage with clients at all levels, translating complex technical concepts into clear, actionable insights and maintaining strong relationships throughout project lifecycles.
Required Experience:
Graduated from a leading institution with a specialisation in a STEM field, you have 2–3 years of experience in data science. Demonstrated proficiency in data science missions and have successfully delivered complex machine learning projects
Required Skills:
- Analytical and proactive mindset
- Proficient with both python and SQL
- Understanding of data science algorithms, how to train and evaluate them comprehensively
- Good working practices, such as code versioning and familiarity with CI/CD
- Ability to explain technical solutions clearly to non-technical or less technical stakeholders
- Some experience working in the cloud, such as GCP or AWS is a plus
- Fluency in English
If this sounds like you, please get in touch! We'd be delighted to speak with you.
In return, we can offer the following benefits:
- Being part of a multicultural, dynamic and fast-growing team
- Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions)
- Private medical coverage through AXA
- Transport for London travel card allowance - covering 50% of zone 1-2 allowance
- The flexibility to work remotely for part of the week - this will continue post Covid
- 25 days holiday per year, in addition to UK bank and public holidays
- Company pension plan
- Company-sponsored sporting and social activities
- Monthly Codecademy subscription - reimbursable upon completion of chosen training path
- Cycle to Work Scheme
