Job description
Job 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.
We are looking for a dynamic Data Analytics Specialist to join this core team and be an integral part of our Digital Centre of Excellence. Awaiting the successful candidate are novel projects in marine installation optimisation, geo-data visualisation, and many others. Acteon Group is at an exciting point in its digital journey and the Data Analytics role will play a key part in its future development.
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
Candidates Must Come Armed With
- Analytical, inquisitive mindset
- Exceptional listening skills and ability to translate concepts to non-technical audiences
- Data science / advanced statistical analysis experience
- Strong Python programming skills, focused on engineering and/or data science applications
- Drive and ability to self-deliver work from concept to production
- Knowledge of cloud analytics services and infrastructure (Azure preferred)
- Experience with SQL and NoSQL databases
Traits of a Successful Candidate
- 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 365
- Experience working with engineering and operations teams in marine construction, renewables, or offshore oil & gas industries
Job Snapshot
- Location:
London - Job Type:
Engineering - Date Posted:
2/22/2023