Senior Data Scientist

Information Tech Consultants
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 55K

Job location

Tech stack

Java
Amazon Web Services (AWS)
Data analysis
Optical Character Recognition (OCR)
Artificial Neural Networks
Computer Vision
Azure
Big Data
C++
Cloud Computing
Cluster Analysis
Data Mining
Generalized Linear Model
Python
Machine Learning
Natural Language Processing
NLTK
OpenCV
TensorFlow
SQL Databases
Text Mining
Data Processing
Google Cloud Platform
Chatbots
PyTorch
Random Forest
Deep Learning
Generative AI
Social Network Analysis
Keras
Information Technology
Build Tools
Spacy
Software Library

Job description

  • 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

Requirements

Do you have experience in Python?, Do you have a Master's degree?, * 6 to 7 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)
  • 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., * 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

Apply for this position