Senior Data Engineer

Job Overview

Data Science Lead

Role: Permanent

Location: London

Experience: 12 to 18 years

CTC: 4000 TO 4500 US Dollars

• 12 years of experience manipulating data sets and building statistical and machine learning models.
• Masters or PhD 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.

• 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.
• Desirable previous international experience (US, Canada, or Europe).

• Mentor / Develop / Train consultants.
• Orientation to results.
• Leadership.

• Collect data through means such as analyzing business results or by setting up and managing new studies.
• Transfer 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.

• 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 in Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bert, Elmo, Spa Cy, 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.