At a Glance
- Tasks: Join us to develop cutting-edge AI-driven shopping experiences and optimise customer journeys.
- Company: RufusX Science UK, a leader in innovative language technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with a dynamic team of engineers and scientists in a vibrant London setting.
- Why this job: Make a real impact on the future of shopping with advanced machine learning technologies.
- Qualifications: Experience in data science, machine learning, and strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience in a ML or data scientist role with a large technology company
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience effectively communicating complex concepts through written and verbal communication
- Master's degree or above in Math, Statistics, Computer Science, or related science field (Desirable)
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 (Desirable)
- Experience in defining and creating benchmarks for assessing GenAI model performance (Desirable)
- Experience working on multi-team, cross-disciplinary projects
What the job involves
We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilising data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimise customer experiences.
As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimisation of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analysing results, and launching new features, products and systems.
Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimising shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyse A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualisations.
The Rufus Features Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilise and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.
Data Scientist (RufusX Science UK) in London employer: Deepstreamtech
At RufusX Science UK, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to work with cutting-edge technologies and contribute to transformative AI-driven shopping experiences. With a focus on teamwork and cross-disciplinary projects, we provide a unique opportunity for Data Scientists to make a significant impact while enjoying a supportive environment that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (RufusX Science UK) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at RufusX Science UK on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those involving data analysis and modelling. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL, Python, and R skills. You never know when you’ll need to demonstrate your coding prowess during an interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Scientist (RufusX Science UK) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and data analysis tools. We want to see how your skills align with the requirements, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Communication Skills:Since we value effective communication, make sure to demonstrate your ability to explain complex concepts clearly in your application. Whether it's through your CV or cover letter, clarity is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning and data analysis tools mentioned in the job description. Brush up on your SQL, Python, and R skills, and be ready to discuss how you've used these languages in past projects. Being able to share specific examples will show that you can apply your knowledge practically.
✨Showcase Your Communication Skills
Since the role involves communicating complex concepts, practice explaining your previous projects in simple terms. Prepare to discuss how you’ve effectively communicated insights to both technical and non-technical audiences. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Technical Questions
Expect to face technical questions related to statistical modelling and machine learning. Review key concepts and be ready to solve problems on the spot. You might even be asked to design an experiment or analyse a dataset, so practice thinking aloud as you work through these scenarios.
✨Understand the Company’s Vision
Research RufusX Science and their AI-driven shopping assistant. Understand their goals and how your role as a Data Scientist fits into their vision. Being able to articulate how your skills can contribute to their mission will set you apart from other candidates.
