Lead Data Scientist

Data Science Lead :

Location : London

Experience : 12 to 18 years

Job Requirements:

• 12 years of experience manipulating data sets and building statistical and machine learning models.
• Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field

- Fluent English (written/spoken)

• Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
• Experience Developing Machine Learning / Data Science models, from coding to deployment
• 2+ years of experience in teaching or training.
• 3+ Years of Hands-on Hybrid Development experience preferred.

Skills

• Able to train/mentor/coach in coding (mandatory python and SQL, java or C++)
• Project Management background preferred.
• Knowledge of the Consulting/Sales structure.
• Empathy and service attitude
• Fast-paced
• Project Management experience
• Desirable previous international experience (US, Canada, or Europe)
• Leading consultants to grow and create tangible benefits and assets.

Competencies

Mentor / Develop / Train consultants

Orientation to results

Leadership

Main responsibilities of the position

• Collecting data through means such as analyzing business results or by setting up and managing new studies
• Transferring data into a new format to make it more appropriate for analysis
• Build tools to automate data collection
• Compare and analyze provided statistical information to identify patterns, relationships, and problems
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analyzing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data
• Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
• Prepare detailed reports for management and other departments by analyzing and interpreting data
• Train assistants and other members of the team how to properly organize findings and read data collected
• Design computer code using various languages to improve and update software and applications
• Refer to previous instances and findings to determine the ideal method for gathering data

Desired Skills (Including but Not Limited to):

• Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision
• Python and SQL coding skills are indispensable
• Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform
• Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc.
• Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus
• Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets
• Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Ability to compile and organize statistical information retrieved and present findings to management
• Faculty to work toward multiple deadlines simultaneously
• Strong problem-solving skills with an emphasis on product development.
• Certification in a Cloud-Based/Machine Learning service desirable

• Seniority Level
• Not Applicable
• Industry
• Software Development
• Engineering Services
• Information Services
• Employment Type
• Full-time
• Job Functions
• Information Technology
• Engineering
• Skills
• Computer Vision
• Machine Learning
• Natural Language Processing (NLP)
• Python (Programming Language)
• Deep Learning
• Artificial Intelligence (AI)
• Data Science
• Cloud