Senior Data Scientist
Croud
- London, United Kingdom
- Senior Level
- Master's degree
- Posted
Skills
Required
- machine learning
- data science
- supervised machine learning
- data analysis
- applied machine learning
- Python
- SQL
- modeling
- analytics
- digital marketing
- statistical methods
- AI
- ML libraries
Join Croud, a leading digital marketing agency, as a Senior Data Scientist. In this role, you will work closely with analysts and engineers to improve supervised machine learning performance and ensure high business impact from our data science solutions. You will engage with clients, enhance the overall data science analysis and modeling process, and explore and model large data sets using Python, SQL, and related tools. This is a great opportunity to work alongside world-class experts in a growing data science practice and develop your expertise while working on interesting client projects.
GBP 75,000 - 85,000
Responsibilities
- Collaborate with a team of analysts and engineers to improve supervised machine learning performance and develop new approaches.
- Engage with clients to understand their needs, communicate complex concepts, and ensure high business impact from data science solutions.
- Manage data science and machine learning projects, ensuring technical goals are met within agreed timeframes and producing high-quality data science procedures.
Requirements
- You are someone who is both confident with data science and data analysis and also with communicating complex ideas and topics.
- You would prefer to work in a quickly growing company where you are directly engaged with client companies and can learn and develop fast. You are prepared to work hard on stimulating problems
- You have natural mathematical and analytical skills, good judgment, attention to detail and a passion for finding solutions.
- You have knowledge and training in statistical methods and in supervised machine learning. You have a proven aptitude in working with data, and a desire to further develop your career in data science.
- You have already experimented with and successfully applied AI and you are excited about the opportunities it presents to innovate rapidly in this space
- You bring experience working in a professional role or project in applied machine learning. You can explain data science topics in written and verbal form, including to a group if necessary.
- You bring a positive attitude to your work, have the curiosity to explore new ideas, and respond well to feedback
- Strong client services skills, able to both explain complex concepts to clients and manager expectations on delivery and impact when necessary
- Knowledge and experience of Python, associated ML libraries and SQL
- Experience of using LLMs to help systematically write and review safe and stable code
- Proven experience in applied machine learning through a prior full time role
Strong statistical knowledge
- Master's degree or PhD, or relevant experience in a field emphasizing quantitative disciplines, with coursework in machine learning (or alternatively, a quantitative advanced degree complemented by extensive training in data science/ML)
- High level of proficiency in English writing and speaking
- Ability to communicate the results of data analysis and modeling
- Strong time management and organizational abilities, capable of prioritizing tasks effectively and working autonomously
- Experience with putting machine learning models into production in a cloud environment
- Knowledge and experience of marketing effectiveness measurement and marketing optimisation techniques
- Experience working senior stakeholders in an analytics context
- Experience in web analytics, marketing analytics and digital marketing
