Data Scientist

American IT Systems
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Agile Methodologies
Amazon Web Services (AWS)
Artificial Neural Networks
Azure
Big Data
Cloud Computing
Data Visualization
Distributed Systems
Hadoop
Python
Machine Learning
Natural Language Processing
Scrum
Power BI
TensorFlow
Software Engineering
SQL Databases
Tableau
Reinforcement Learning
Google Cloud Platform
Spark
Deep Learning
Keras
Information Technology
Programming Languages

Job description

We are seeking a highly skilled and dedicated individual to join our team as a Machine Learning Model Builder. In this role, you will be responsible for designing and implementing machine learning models to solve complex business problems and drive innovation. You will work closely with our data science team to understand the data, develop models, and integrate them into our existing systems. This role requires a deep understanding of machine learning algorithms, statistical concepts, and the ability to translate these into practical applications.

Responsibilities

Develop, implement, and validate machine learning models.

Analyze large and complex data sets to derive valuable insights.

Collaborate with cross-functional teams to understand business needs and objectives.

Continuously monitor, validate, and improve the performance of machine learning models.

Requirements

Proficiency in Python, R, or other programming languages used in machine learning.

Strong knowledge of machine learning algorithms and principles.

Experience with data modeling and evaluation.

A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning; a Master's degree or Ph.D. is preferred.

Preferred Skills

Familiarity with deep learning frameworks such as TensorFlow or Keras.

Experience with natural language processing.

Knowledge of cloud platforms like AWS, Google Cloud, or Azure.

Proficiency in SQL and database management.

Experience with big data platforms like Hadoop or Spark.

Familiarity with data visualization tools such as Tableau or PowerBI.

Understanding of reinforcement learning.

Knowledge of neural networks.

Experience with distributed computing.

Familiarity with software development methodologies like Agile or Scrum.

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