Data Analytics Specialist - London, United Kingdom - Acteon Group Limited

Acteon Group Limited

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Acteon provides a range of industry-leading products and services to support marine and subsea projects for renewable energy, nearshore construction and oil and gas sectors across all phases of the lifecycle.

We engineer solutions and integrated services using data and knowledge-based insight across our customers' floating and fixed marine infrastructure.

The market in which Acteon operates is shifting in favour of data-driven companies.

Leading this transition, Acteon has a cross-discipline Digital team to promote development of new data-driven insights into our services and our customers' assets to drive increased performance and safety to personnel and environment.

This role will be hybrid but can be 100% remote with periodic travel to our sites.

Key Responsibilities

Transform domain expertise of technical authorities into intuitive, insightful digital products
Build and deploy models and data pipelines which support those and other digital services
Quickly prototype nascent digital concepts to build up value propositions
Work closely with Acteon's cloud IT Ops team to put prototypes into production
Establish and maintain governance processes for analytics models

Available Opportunities

Be seen as a transformative leader in data science within Acteon and by our clients
Gain domain knowledge in marine engineering
Grow our Data Analytics Centre of Excellence
Publish papers and attend industry conferences
Mentor Masters students and interns
Analytical, inquisitive mindset
Exceptional listening skills and ability to translate concepts to nontechnical audiences
Data science / advanced statistical analysis experience
Drive and ability to selfdeliver work from concept to production
Knowledge of cloud analytics services and infrastructure (Azure preferred)
Experience with SQL and NoSQL databases
PhD or Masters (thesis) degree in engineering or related field
Degree in engineering, computer science, or similar (or equivalent industry experience)
Plan, organise and prioritise work; balance skills, priorities and timescales to achieve objectives
Ability to fully plan, build, and deploy Azure data analytics pipelines
Strong desire to be a digital promoter and transformer
Experience developing data models to aggregate data streams and delivering semantic layers to users
Familiarity interacting with IOT transport protocols and REST APIs
Understanding of ERP systems, e.g. Microsoft Dynamics 36
Experience working with engineering and operations teams in marine construction, renewables, or offshore oil & gas industries