About Hey Savi
We're a fully female-founded company on a mission to change the way people search and shop online for fashion…forever!
We're going to spark a new era of fashion discovery, igniting confidence in everybody and every body, and we'll create a world where fashion confidence starts with "Hey Savi…".
Hey Savi is at the beginning of an exciting journey and we're looking for top talent to join our team.
Because data, and specifically our data science models, are our IP you'll have a major role in shaping the product and experience.
Unlike many start-ups we're very well funded, have a detailed business and financial plan, and are looking for experienced, passionate professionals to join us in creating and scaling a game-changing business.
So if you want a role where you will make a major impact and want to be a part of a team of women building an incredible product and experience for other women, come join us and make the most Savi move of your career!
About the RoleWe're looking for a Data Scientist to join our team and work with our Head of Data Science in building the engine that drives our product and experience.
The power of data, including Machine Learning and AI, and how to use it effectively and ethically, will shape everything we do now and as we grow, so this is a pivotal role.
We're looking for someone with top-notch abilities in handling various data types and who has expertise in delivering projects across multiple disciplines, including experience in either computer vision or Recommendations & Personalisation, and a strong interest and expertise in LLMs.
You'll be working closely with the full product team including a top-notch Researcher, stellar Product Designer, highly experienced Product Manager, and visionary Head of Engineering, as well as a world-class Head of Data Science, which this role reports to.
ResponsibilitiesRole: Data ScientistExperience: Approx.
3-4 yearsMust Haves:Data: Great understanding of data and common analysis, enhancement and transformation techniques to understand limitations and validity of a datasetExposure to variety of data types and volumesUnderstanding of data collection and annotationNLP & LLMs: good understanding and experience in handling text dataStrong understanding of foundational techniques and models in NLPExperience in working with small and large language modelsUnderstanding of underlying concepts behind the models and their limitationsUnderstanding and experience in techniques to improve performance of LLMsUnderstanding and experience in evaluating performance of large language modelsNice to HavesComputer Vision: Good understanding and experience in handling image dataStrong understanding of predictive techniques including neural network and transformer architecturesUnderstanding of model applications and limitationsGood grasp of underlying concepts and maths behind the ML modelsExperience with training and fine-tuning pre-trained modelsExperience and strong understanding of evaluation techniques in object detection and recommendationsAdditional SkillsProgramming skills:Language: PythonFrameworks and libraries:Core python libraries like pandas, numpy, opencv, scikit-learn etc.Pytorch, Keras, TensorflowHuggingface, Langchain, LanggraphsStreamlit (or other alternatives)Cloud Technologies:AWSKnowledge of appropriate services within AWS (such as Lambda, EC2, S3, RDS, DynamoDB and etc)Experience with building pipelines within AWS for data science projectsServing ML endpointsStrong understanding of computational resources and their differencesOther: GitHubDevelopment and deployment:Good knowledge of best practices in MLOpsProduction-level experience: hands-on experience working with ML models in production environmentsExperience with following engineering best practices of deploying the models and machine learning pipelinesExperience in working collaboratively with engineersUnderstanding and experience in post-deployment techniquesEducation:Bachelor's degree in relevant fields such as mathematics, data science, computer science or statisticsNOTE: If you have the experience and expertise for the role but don't have a degree we strongly encourage you to apply as what matters is your ability to do the job well!Complex CompetenciesIntellectual Curiosity: Interest in keeping up to date with new techniques and technologies in data science spaceFlexible Thinking: Good understanding of experimentation concepts and ability to pivot quicklyCollaboration: Enjoy working in collaborative environment on a single projectAgility: Familiarity with agile working environments and how to leverage them to increase quality and speed and decrease risk for deliveryIndependence: Ability to work independently on individual projectsCommunication Skills: Active listener who can adjust their communication style to ensure understanding and alignment across a diverse set of peoplePresentation Skills: Ability to deliver and present demos that can be easily digested by the wider non-technical audiencesOrganisation: Structured approach to documentation and project workPLEASE NOTE: If you don't meet 100% of the criteria but are passionate about our mission and vision and think you can do the job, especially if you have expertise with the complex competencies listed above, we strongly encourage you to apply!
Location + Work StyleWe'll all be where we need to be based on what's happening.
We'll have in-person team sessions (usually once a week) as needed for key activities like planning, strategy, and brainstorming sessions (and some fun!
), and remote work the rest of the time to allow for flexibility, work-life balance, and quiet time for deep work.
Savi is based in London and are looking for people in the UK and Europe to join our team.
We regret that we can't hire candidates from other locations or provide Visa sponsorship yet.
Salary Range:UK Based: £70k-£80k GBP Annually
#J-18808-Ljbffr