Senior Data Scientist

Indeximate
Nottingham
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

Senior Data Scientist (GenAI)

Senior Data Scientist (MLOps)

Senior Data Scientist/ Senior Risk 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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.