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Senior Manager IoT Analytics
2 months ago
Location: London, Manchester, Glasgow (hybrid working arrangements, typically 1-2 days per month in the office).
Employment Type: Permanent.
Salary: up to £100,000 (dependent on experience), bonus and other benefits.
As a requirement, all candidates must be SC eligible and (sponsorship cannot be supplied). Some travel may be required based on business demand.
Collaborate with cross-functional teams, harness advanced analytics, AI, and emerging technologies to tackle operational challenges head-on.
Your role extends beyond data analysis; you'll facilitate workshops, provide recommendations, deliver impactful communications, and build strong relationships with stakeholders.
As a Senior Manager for our client, you'll play a pivotal role in setting the direction, driving their business forward, and modeling their core values. Your leadership will be key in coaching and developing talented junior team members.
In this role, you'll have the chance to contribute to both the business and your personal growth through various activities. These include:
- Business Development: Leading or contributing to proposals, RFPs, bids, and client pitch contributions.
- Internal Contribution: Engaging in campaign development, whitepapers, and practice development initiatives.
- Learning & Development: Access to training that supports your career growth and aligns with the company's skills demand.
Are you skilled in Data Analytics, Industry 4.0 solutions, and Cloud technologies?
We are seeking individuals with expertise in the following areas:
- Designing and delivering real-time, industry 4.0 related data analytics solutions like IoT analytics and Digital Twins for operational efficiency.
- Knowledge of cloud solutions architecture with AWS, Azure, or GCP.
- Implementing Edge computing solutions and integrating them with cloud architectures.
- Familiarity with various IoT devices and sensors, including environmental sensors, image sensors, motion sensors, etc.
- Strong understanding of IoT protocols such as MQTT and HTTP.
- Application of Industry 4.0 technologies like IoT platforms, Historians, SCADA, OT, and cybersecurity.
- Experience in applying machine learning models with Python packages like scikit-learn, Tensor Flow, or Keras.
