Research Scientist

TN United Kingdom; Cambridge; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the field of advanced analytics seeks a Research Scientist to develop and prototype statistical models and algorithms. This hybrid role in Cambridge involves collaborating with a diverse team to enhance machine learning and AI technologies. Ideal candidates will possess a postgraduate degree and programming skills, with a strong focus on innovation and analytical techniques.

Qualifications

• Postgraduate background in relevant discipline required.
• Familiarity with neural networks and deep learning frameworks essential.
• Experience in programming languages like Python, Java, or C++.

Responsibilities

• Research new machine learning algorithms for financial crime detection.
• Interface with stakeholders to understand analytical requirements.
• Contribute to the productionisation of new analytical features.

Skills

Python

Java

C++

Neural Networks

Deep Learning

Statistical Reasoning

Education

Postgraduate degree in Mathematics, Statistics, Computer Science, Physics, or Engineering

Tools

TensorFlow

PyTorch

Job description

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As a Research Scientist, you will help us to achieve our goals and deliver success on behalf of our customers by researching and prototyping advanced statistical models, algorithms, and data workflows that improve Featurespace analytical products. You will be responsible for designing and supporting our machine learning and AI technology alongside a diverse team of research scientists and engineers.

This is a hybrid role based in ourCambridgeoffice, so you will ideally be comfortable coming into the office 3 times a week. If you’re interested in the role but require more flexibility, please speak to us!

Day to Day

• Interface with stakeholders within the business to understand analytical requirements and opportunities
• Research new machine learning algorithms and statistical techniques to solve problems in the detection and prevention of financial crime
• Create and deliver patents, publications and external talks as appropriate
• Contribute to the productionisation of new analytical features through prototyping, requirements setting, and implementation
• Provide research input into future analytical strategies and product development
• Participate in the planning and review processes for work in the Innovation Lab
• Share knowledge of analytical techniques and tooling across delivery and engineering teams

About you

Must haves:

• Academic background at postgraduate level in a relevant discipline, e.g. Mathematics, Statistics, Computer Science, Physics, or Engineering
• Familiarity with neural networks at a mathematical level
• Experience in using Python, Java, C++ or another high-level programming language
• Ability to write clean code
• Experience using a deep learning framework such as TensorFlow or PyTorch
• Ability to manage and prioritise personal workload

Great to haves:

• PhD or post-doctoral research experience in a relevant discipline
• Publications advancing theoretical knowledge in a relevant discipline
• Familiarity with modern software engineering practices (including Git, IDEs, testing and code review)
• Familiarity with statistical reasoning
• Experience in working with large datasets

Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging.