.png){kind=logo}
- Insights
- Cryptocurrencies
- Stocks
- White Papers
- Industry
- Geography
- Insights
- Cryptocurrencies
- Stocks
- White Papers
- Industry
- Geography
Remote data science jobs offer many benefits, such as flexibility, convenience, autonomy, and diversity. You can work from anywhere, anytime, and with anyone, as long as you have a reliable internet connection and a suitable device. Are you looking for a remote data science job in the UK? Do you have the skills, experience, and passion to work with data and solve complex problems? If yes, then you are in luck! There are many opportunities for remote data science jobs in the UK, and we have compiled a list of some of the best data science job profiles for you.
Junior Data Scientist
DigitalGenius is a venture-backed artificial intelligence startup that has openings for junior data scientist and provides practical applications of deep learning and AI to some of the world's largest customer service operations and high-growth businesses. The company has a devoted team of intelligent and hardworking individuals committed to revolutionizing customer service via the use of artificial intelligence. The team is completely remote, with colleagues stationed in the UK, US, and Europe.
Artificial Intelligence Researcher, Trilogy
Roles & Responsibilities:
Using your technological expertise and tools like OpenAI Code Interpreter, LangChain, and AWS Glue, you can transform our educational offerings.
With your ability to break down difficult instances into component phases and create AI prompts accordingly, you are leveraging the potential of AI to make our services smarter.
Keeping us on track, extensively testing and validating our IDSs to guarantee our AI solutions are on point and provide excellent service.
Rolling up your sleeves, assessing results, creating prototypes, and doing whatever it takes to raise the quality threshold.
Senior Behavioural Data Scientist
About The Role:
This position is ideal for a scientist who is passionate about understanding behaviour and leveraging big data and machine learning. The primary goal is to understand the behaviour that drives people's health-related decisions, which includes societal factors, personal beliefs, and attitudes.
Your tasks include identifying opportunities to improve data collecting on a large scale, such as through public data, commercial suppliers, and web scraping, as well as employing sophisticated machine learning techniques to broaden our resources and insights to new audiences.
You will work closely with research scientists and engineers to operationalize these advances, allowing for the development of exact person-level insights and suggestions inside our platform.
Data Scientist Remote
Responsibilities:
In this data scientist remote role the candidate Analyses huge and complicated datasets with statistical analysis tools and modelling strategies.
Create and maintain prediction models to find trends and patterns in data.
Collaborate with cross-functional teams to understand business needs and provide suggestions for data-driven decisions.
Prepare and deliver data insights and suggestions for stakeholders and management.
Continuously analyse and enhance current models and methods.
Stay current with industry changes and advances in data science methodologies.
Develop and maintain productive connections with internal stakeholders, external clients, and partners.
ML/AI – Data Scientist Engineer
Requirements:
A bachelor's or master's degree in computer science or a related subject.
At least three years of experience as an AI engineer.
Python, AutoML, TensorFlow, and/or PyTorch expertise.
Experience with Multi-Objective Decision Engine, Game Theory, and Behavioural Analytics.
Senior Data Scientist, London
Roles and responsibilities:
Train and improve AI models (LLMs, Vision LLMs) to handle complicated issues.
Research and remain up to date with the newest advances in AI, by reading white papers, ideally building an implementation for the ones that can have a big influence on the quality of the models, if an opensource one is not already accessible.
Collaborate with cross-functional teams to identify and create AI solutions that fulfil business goals.
Lead Data Scientist
Roles and responsibilities:
Hands-on team leadership.
Create unique ways for analysing and predicting 3D model part price using machine learning models.
To impact work routing, analyse supplier performance and estimate risk and the likelihood of on-time delivery.
Open-source Optical Character Recognition (OCR) technologies paired with language models are used to read and infer information from texts and technical 2D drawings.
Collaborate with operations and product teams to understand crucial challenges and build new solutions.
Mentor other developers by providing practical feedback and implementing software development best practices.
