Junior Data Scientist

Skin Analytics; London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A health tech company in London seeks a passionate Data Scientist to work on AI projects in dermatology. You will analyze data and develop tools for real-world applications in skin cancer diagnosis. A Bachelor's in a STEM field and proficiency in R or Python are essential. The role offers a competitive salary, equity options, and a supportive work environment with strong company values.

Benefits

Competitive salary

Bonus structure

Share options package

Private healthcare

25 days annual leave

Enhanced parental leave

Training budget

Social activities

Qualifications

• Proficient in R or Python for data analysis and basic modeling.
• Strong understanding of SQL for managing structured data.
• Bachelor's in a relevant STEM field is required.

Responsibilities

• Curation and management of datasets from clinical studies.
• Cleaning and management of data sets for training algorithms.
• Design and implementation of dashboards for data monitoring.

Skills

Proficiency in R

Proficiency in Python

Familiarity with SQL

Strong attention to detail

Excellent communication skills

Education

Bachelor's in Computer Science

Bachelor's in Data Science

Tools

NumPy

pandas

Matplotlib

PowerBI

Tableau

QuickSight

Job description

Please note: This role works from our Farringdon (London) office 3 days a week. If you cannot accommodate this, we unfortunately can't consider you for the position. We cannot offer sponsorship for this role either, so if you don\u2019t have right to work in the UK, please refrain from applying.

About Skin Analytics

Skin Analytics is an award-winning, health tech company that works with dermatology teams to deploy world-leading skin cancer pathways using AI as a medical device, DERM.

Following our recent £15M series B funding round and regulatory milestones, we\u2019re ready to scale internationally, making history for AI in healthcare and the future of dermatology.

We\u2019re proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as being the first company to receive a NICE recommendation for use across the NHS.

DERM is deployed at more than 25 NHS organisations where we\u2019re supporting dermatology teams to build sustainable services that enable patients to gain quicker access to skin cancer diagnosis. We also collaborate with some of the largest health insurers to reach patients in their own homes.

We are a team of passionate people on a mission to build a future where no one dies from skin cancer.

The role

Skin Analytics invests in strong evidence for everything we do and we have a pipeline of post-market surveillance and research projects in need of a gifted data scientist.

This role will provide you with the opportunity to contribute to the largest deployments of AI in dermatology conducted to date. Not only are we aiming for our existing technology to be scaled across different populations, but we will also be looking to bring new products to market after comprehensive clinical evaluation. The role reports to our Senior Data Scientist with whom you will work closely on data acquisition, curation and analysis.

(Tech) experience required: The ideal candidate for this position will possess a Bachelor\u2019s degree in a STEM field such as Computer Science, Statistics, Data Science, Engineering or a related discipline, along with proficiency in R or Python for data analysis, manipulation, and basic modelling. Relevant Python libraries include NumPy, pandas (or polars), and Matplotlib; relevant R packages include tidyr, dplyr, and ggplot2. Familiarity with SQL for querying and managing structured data will also be important.

We welcome the use of modern tools—including LLMs—for coding efficiency and productivity. However, it is essential that you\u2019re not just running code: you must understand every line of it, review it critically, and ensure it meets our standards for correctness, clarity, and maintainability.

Responsibilities

• Curation, streamlining and management of datasets from both clinical studies and real world deployments.
• Analysis of publicly available national datasets to support with marketing claims and identification of potential partners
• Cleaning and management of data sets for training and validation of machine learning algorithms, including maintenance of database
• Automate workflows for data acquisition
• To develop code for data analysis results figures and tables whilst meeting appropriate timescales.
• Design and implementation of dashboards for monitoring of real-world data. This includes visualising insights relating to both the performance of DERM and non-AI related operational insights (e.g. quicksight). These insights may be used to highlight actionable feedback for partner sites or support strategic decision making.

Essential Skills

• Bachelor\u2019s in a STEM field: Computer Science, Data Science, Statistics, Engineering, or a related field
• Proficiency in R or Python (both preferred) for data analysis, manipulation, and basic modelling
• Familiarity with SQL for querying and managing structured data
• Strong attention to detail, with the ability to spot and investigate anomalies in messy datasets
• Excellent communication skills, in particular, the ability to communicate complex material clearly

Preferred Experience

• Exposure to working in a startup or commercial environment (this could include an internship, placement year, or ~1 year of work experience)
• Postgraduate qualification in a STEM field
• Familiarity with inferential statistics concepts such as p-values and confidence intervals
• Experience using version control systems such as Git or GitHub
• Knowledge of key metrics in diagnostic algorithms such as sensitivity, specificity, positive predictive value (PPV), and area under the curve (AUC)
• Experience with data visualisation tools: knowledge of tools like PowerBI, Tableau or QuickSight

Benefits

• Competitive salary
• Bonus structure
• Share options package - all our employees have ownership in the company
• Private healthcare
• 25 days annual leave (plus 5 day company shutdown in August + bank holidays)
• Enhanced parental leave - includes adoption & foster
• Training budget
• Weekly catch-ups, monthly meetings to talk about your ambitions and make plans
• Lots of fun social activities including company offsite

Our Values

• Building a Strong Foundation
• Always Learning
• Lead from the Front
• Tough and Resilient

The Real Stuff

Skin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. If you need any changes made to our application process to accommodate your needs, please get in touch with [e-mail]

*The National Institute for Health and Care Excellence has recommended DERM for use within the NHS until May 2028, while further evidence is gathered