Data Scientist - London, United Kingdom - Circle Recruitment
Description
Data Scientist - Central London
Data Scientist with experience in machine learning / AI, Data science, Cloud, SQL, Python / R experience is required by a leading consultancy in Central London.
Experience ideally required:
- Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn etc)
- Generalist expertise across the entire data lifecycle including data strategy, data governance, risk and ethics, architecture, modelling.
- Technology implementation including data on cloud (AWS, Azure or GCP).
- Experience in Data Science, AI / Machine Learning, hyperautomation.
- Analytics, visualisation, and business intelligence tools.
- Experience in data modelling of any type: conceptual, logical, dimensional, or physical.
- Experience of databases, data warehousing and ETL.
- Extensive experience of completing complex data analysis and create proposals / provide recommendations on the back of analysis proficiency in data mining, mathematics, and statistical analysis
- Solid knowledge of machine learning, natural language processing and ability to develop new algorithms.
- Be an advocate of the advantages of using machine learning to increase efficiency in the data moving forward
- Ideally some proven predictive modelling, forecasting or analytical experience with strong SQL, Python & R skills
Data Scientist Responsibilities:
- Design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models.
- Collaborate with the Product team to develop products based on new data pipelines and models
- Create data visualizations in collaboration with their technology teams
- Champion data quality and integrity, highlighting data quality issues and suggesting appropriate solutions.
- Share knowledge and experience, and analytical/modelling best practices as well as mentoring and development of team member skills
- Design tailored data strategies and implement transformational change; enabling organisations to generate value from their data at pace.
- Translate the data strategy into a realistic and agile implementation roadmap to deliver value quickly.
- Shape the programme of work and support the successful delivery of large data and AI programmes with our data and technology experts.
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