Senior Data Engineer

Information Tech Consultants; Bristol; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology consulting firm is looking for a Data Science Lead to oversee the development of statistical tools and machine learning models. The role requires 12 years of experience with data analysis and a Master’s or PhD in a quantitative field. The ideal candidate should possess expertise in Python, SQL, and cloud technologies, and will mentor team members in coding and data analysis practices. This position offers a permanent role and is based in Bristol, United Kingdom.

Qualifications

• 12 years of experience manipulating data sets and building statistical and machine learning models.
• Experience in teaching or training for at least 2 years.
• Hands-on Hybrid Development experience is preferred.

Responsibilities

• Collect and analyze data through studies and business results.
• Build tools to automate data collection.
• Train team members to organize findings and interpret data.

Skills

Mentorship in coding

Project Management

Empathy and service attitude

Fast-paced adaptation

Education

Masters or PhD in Statistics, Mathematics, Computer Science, or another quantitative field

Tools

Python

SQL

Tensorflow

Keras

Pytorch

AWS

Azure

Google Cloud Platform

Job description

Job Overview

Data Science Lead

Role: Permanent

Location: London

Experience: 12 to 18 years

CTC: 4000 TO 4500 US Dollars

Job Requirements

• 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.

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

Competencies

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

Main Responsibilities

• 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.

Desired Skills

• 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, 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.