Senior Data Scientist

Indeximate
Nottingham
11 months ago
Applications closed

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Indeximate

Indeximate is a rapidly growing VC backed startup focussed on reducing the barriers to net zero using the fantastic wealth of data that can be obtained using fibre optic sensing. We are permanently instrumenting subsea power cables that provide us with our vital electricity supplies and are using this data to reduce the risks of these cables failing.


Our data has a myriad of other uses: monitoring the environment and the weather, mobility of the seabed, tracking marine mammals, detecting vessels and much more. One of our our core goals is liberating these multiple measurements and delivering low cost sensing as a service direct to the desktop. Our existing IP in data compression and analysis is the foundation of this wide future - we are looking for candidates to help us rapidly grow this vision.


What are the role responsibilities?

The role is split between commercially driven R&D into next generation data products and delivering insight to existing customer projects. Your insight will augment our automated workflows by processing vast volumes of data using in-house tools to obtain an understanding of the state of cables and the local environment, providing meaningful output for clients. You will be responsible for assembling and presenting reports both internally and externally. Another key responsibility is the development of algorithms used to extract insight from the data records. This will involve investigating different approaches, developing successful avenues and testing before implementation. Machine learning and alternative data compression techniques are additional topics to be explored in this role.


Key Accountabilities

·         Process Indeximated data from commercial jobs to extract cable health metrics

·         Assemble processed data and interpretation of the data into report format for clients

·         Investigate new methods of extracting useful metrics from the data

·         Check on installations (remotely and in person as needed) and ensure all is running smoothly

·         Present data at conferences and customer meetings

·         Developing machine learning and data compression techniques to improve our product

·         Contribute to the test data set

·         Innovating on behalf of the company


Your Experience & Qualifications

You will be a UK citizen holding a graduate or extended degree in a relevant subject (Data science, Physics, computer science, Maths etc) and have cemented those qualifications with three or more years of experience post degree and can provide a robust portfolio of evidence of your ability to manipulate and process large datasets. Additionally we expect candidates to demonstrate competence in:


·         Understanding of Physics, especially acoustics and acoustic signal propagation

·         Physics based modelling

·         Experience in IP generation

·         Driving Licence


We welcome applications from part time amd full time workers. The role will involve regular low frequency travel.


Your Skills

We are a Physics based data science company and this role is at the deep end of that experience and we expect that candidates will have a good grasp of physics and signal processing, in addition we'd love to hear from candidates with good knowledge & skills in:

·         Demonstrable ability to solve data analysis problems with Matlab, Python or similar

·         Show ability to implement and test new algorithmic concepts

·         Used data compression and machine learning in real applications

·         Good communication and presentation skills – suitable track record to be demonstrated

·         Comfortable with remote working

·         Comfortable with regular travel to meetings (internal and external) and conferences as required


Apply directly to express your interest! We look forward to hearing from you. Apply directly in LinnkedIn and send a covering letter to

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