Junior Data Scientist

Datatech; Cambridge; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A progressive technology company in the UK is seeking a Junior Data Scientist to support their data initiatives, including innovative AI applications. This is an entry-level role ideal for candidates with a relevant degree and a keen interest in data science. The position offers the chance to work on various projects while developing skills in machine learning and statistical analysis. Candidates must have the right to work in the UK.

Benefits

WeWork membership for remote work

Opportunity for professional growth

Qualifications

• Degree in relevant quantitative discipline.
• Hands-on proficiency with Python and typical data science libraries.
• Strong statistical analysis skills.

Responsibilities

• Support data initiatives across multiple projects.
• Work on innovative LLM and Generative AI applications.

Skills

Proficiency with Python

Statistical analysis

Machine learning concepts

Curiosity and adaptability

Interpersonal skills

Education

Degree in data science, computer science, mathematics, statistics or related discipline

Job description

Junior Data Scientist

Full-time, Permanent

UK Remote based role with regular visits to Cambridge offices

£30,000 - £45,000 Negotiable dependant on experience

About them

Metail Limited is a small, leading software technology development company with a strong R&D focus on machine learning and AI. We work closely with our parent company TAL Apparel, who are a leading global garment manufacturer. TAL Apparel is committed to innovation, sustainability and customer satisfaction and the work we do at Metail supports their vision.

All staff are given access to a WeWork membership allowing all employees to work remotely across the UK. The team meets in Cambridge on a regular basis and we would expect the successful candidate to travel to Cambridge.

The Role

We are seeking a Junior Data Scientist to support both Metail and our parent company TAL Apparel. This is a fast-paced role where you will work on multiple projects simultaneously, gaining valuable exposure to a broad range of data initiatives.

The successful candidate will be a self-starter who is enthusiastic about data science, motivated to solve real-world problems, and eager to learn quickly. You will gain hands-on experience across the full data science lifecycle and have the opportunity to work on innovative Large Language Model (LLM) and Generative AI applications.

About you

This exciting opportunity is open to applications from entry level but also welcomes those with c 1-2 years' experience looking to develop in the cutting edge of Data Science space.

We are looking for the post-holder to have the following skills and experience :

• Degree in data science, computer science, mathematics, statistics or a related quantitative discipline
• Hands‑on proficiency with Python and experience in typical data science libraries
• Strong statistical analysis skills and ability to apply them to real-world problems
• Keen interest in AI and familiarity with the latest LLM developments
• Knowledge of machine learning concepts and predictive models
• Curiosity and adaptability - you enjoy working on varied projects and are eager to learn new technologies
• Self‑motivated, capable of working independently without regular supervision
• Strong time‑management skills and ability to deliver high‑quality work under tight deadlines in a fast‑paced environment
• Ability to communicate with various stakeholders from both technical and non-technical backgrounds
• Strong interpersonal skills and ability to work collaboratively in an international team environment

Applications to be made to our recruitment partner, Datatech Analytics, at (url removed)

Applications will be considered upon receipt; therefore, early applications are encouraged. We will only contact those who have been shortlisted.

All candidates must already hold the right to work in the UK when applying for this position.

Metail Limited. is an equal-opportunity employer and encourages candidates from all backgrounds to apply