Description
We are hiring for Data Scientist for our client's project based at London, UK - Hybrid
Security Clearance: Active SC Clearance is must have
Job Description:
Data Scientist will extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools.
Interpreted the data and present the results using clear and engaging language.
Work closely with the business to identify issues and use data to propose solutions for effective decision making.
Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports.
Typical Skills: Has experience in database interrogation and analysis tools, such as Hadoop, SQL and SAS and programming skills such as R, Python, SQL, C or Java as well as strong database design and coding skills.
Can use machine learning tools and statistical techniques to produce solutions to problems.
Able to test data mining models to select the most appropriate ones for use on a project. Creates clear reports that tell compelling stories.
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.
Conduct research from which prototypes and proof of concepts can be developed.
Use algorithms to solve problems.
Able to understand the requirements of the business and to deliver under pressure and to tight deadlines with great attention to detail.
Minimum Requirement:
Experience writing high quality production-grade Python code, using a range of libraries and frameworks: Pandas, numpy, Scipy, scikit-learn, TensorFlow, PyTorch, OpenCV, Pydantic etc.
Experience with Oracle database and/or PostgreSQL. Being able to understand and write SQL queries to extract and manipulate data from existing and new
relational (SQL) data stores is a key requirement.
Experience using AWS cloud technologies and ecosystem including: S3, lambda functions, AWS Textract, CodeCommit, Cloud9, SageMaker etc.
Proven experience in a range of AI and data science fields: data wrangling, data visualisation, natural language processing, computer vision, deep learning, and statistical inference