Data Scientist

Recruiter
MBN Recruitment Solutions Ltd
Location
Glasgow
Salary
£35,000-£60,000 + Benefits (Various Levels Availab
Posted
11 Jul 2017
Contract Type
Permanent
Hours
Full Time
MBN's client a leading consultancy are in search for a number of Data Science professionals within their Data Science & Analytics Division.

Based in either Edinburgh or Glasgow, the successful candidates will help grow the businesses advisory practice and support a range of exciting insight projects and product developments.

Responsibilities

Deliver a range of Data Science, Machine Learning and Artificial Intelligence projects in areas such as machine learning, natural language processing and optimisation.

Bring technical and practical insight in to how clients might use data science and AI more effectively to manage risk across their business.

Keep up to date with machine learning techniques, technologies, architectures and languages where necessary

Maintaining a solid understanding of one or more of the industries the team operates in, the challenges and opportunities it faces and how these impact the sector.

Supporting in the development of new AI-based software solutions and products

Requirements

Experience in data sourcing, extracting, cleaning, and data managing

Experience of applying supervised and unsupervised learning algorithms to problems and an understand which approaches are relevant different scenarios

Experience with natural language processing, ideally in a big data context

Programming experience of applying statistical analysis in Python and/or R

Understanding of Big Data technologies such as Hadoop and Spark from an architecture and analytics point of view

Experience with cloud technologies such as AWS and/or Google Cloud Platform

Strong planning, organisation and people management skills.

Postgraduate degree in a scientific subject (Mathematics, Natural Sciences, Computer Science, Artificial Intelligence, Robotics, Data Science, Engineering, etc) and / or relevant professional qualification and / or significant relevant

Experience in Financial Services (preferred but not essential)

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