trainee data scientist jobs in Essex

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will be a fundamental part of our close-knit Microbiology team, providing an efficient and effective service to two general hospitals and the local GP community. In this role, you will: - Perform and interpret routine and specialist biomedical investigations - Provide professional leadership to Trainee BMS, Associate Practitioners, Laboratory technicians, and MLAs

You will be a fundamental part of our close-knit Microbiology team, providing an efficient and effective service to two general hospitals and the local GP community. In this role, you will: Perform and interpret routine and specialist biomedical investigations. Provide professional leadership to Trainee BMS, Associate Practitioners, Laboratory technicians, and MLAs.

Company Description Domainex is a leading drug discovery service company based near Cambridge, UK, providing innovative solutions to pharmaceutical, biotechnology, academic, and patient foundation clients worldwide. With over twenty years of successful drug discovery programs, Domainex delivers scientifically efficient approaches to accelerate drug development. Offering a comprehensive range of...

As a member of the Analytical Sciences team, you will be involved in and take responsibility for all aspects of the analysis of pharmaceutical and healthcare samples utilising a range of techniques such as LC-MS, GC-MS and ICP-MS. The team specialise in the cGMP analysis of final products, active pharmaceutical ingredients, and excipients with a focus on impurity identification, method...

You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.

You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you.

You should have a solid background in Machine Learning (ML) and/or statistical signal processing with excellent programming skills in Python and extensive experience with libraries and toolboxes to support efficient development.

You will have the opportunity to work with colleagues in multi-disciplinary teams.

You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.

You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you.

Location: Saffron WaldenJob Type: PermanentHours: Monday-Friday, 9.00-17.30Salary: Competitive Job Reference: 35947Polytec are seeking a Senior RF Data Scientist / Research Engineer to develop signal-processing and machine learning solutions using RF data from software-defined radios for our Saffron Walden based client. This hands-on role sits at the intersection of RF hardware, DSP and applied...

You will receive structured training and mentoring to support the quoting and costing of complex, high-specification components across the aerospace, defence, and energy sectors, with clear opportunities for progression as your skills develop. Key Responsibilities With training and support, you will gradually take responsibility for the following:

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.

You will receive structured training and mentoring to support the quoting and costing of complex, high-specification components across the aerospace, defence, and energy sectors, with clear opportunities for progression as your skills develop. Key Responsibilities With training and support, you will gradually take responsibility for the following:

As a member of the Analytical Sciences team, you will be involved in and take responsibility for all aspects of the analysis of pharmaceutical and healthcare samples utilising a range of techniques such as LC-MS, GC-MS and ICP-MS. The team specialise in the cGMP analysis of final products, active pharmaceutical ingredients, and excipients with a focus on impurity identification, method...

You will work across a variety of complex analytical problems, owning experimentation end-to-end—even when ideal conditions such as user randomisation or high statistical power are not present.

You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment.

You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform.

You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth through high-quality user experience, experimentation, and data-driven decision making. This is a collaborative role, working closely with engineers, product managers, and cross-functional partners in a fast-paced environment.