Senior Data Engineer

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

Job summary

A technology consulting firm is looking for a Data Science Lead based in the UK. The ideal candidate will have over 12 years of experience in data manipulation, statistical analysis, and building machine learning models. Responsibilities include data collection, analysis, tool automation, and team mentoring. Candidates should possess a Masters or PhD in a quantitative field and be proficient in Python and SQL. This role offers a competitive salary package and opportunities for professional growth.

Qualifications

• 12 years of experience manipulating data sets and building statistical and machine learning models.
• Fluent English (written / spoken).
• Experience in developing Machine Learning models from coding to deployment.

Responsibilities

• Collect data through various methods to analyze business results.
• Build tools to automate data collection.
• Train assistants and other team members on data organization.

Skills

Python

SQL

Machine Learning

Deep Learning

NLP

Project Management

Cloud Technologies

Statistical Analysis

Education

Masters or PhD in Statistics, Mathematics, Computer Science

Tools

Tensorflow

Keras

Pytorch

OpenCV

Bert

R

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.