Data Scientist

PurpleSector; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading data science firm in London is seeking a Mid-Senior Data Scientist to drive collaboration with teams and develop machine learning models. The ideal candidate has proven experience in Python and statistical modelling. This full-time role emphasizes problem-solving, communication, and a strong knowledge of data science techniques.

Qualifications

• Proven experience as a data scientist using Python and libraries.
• Strong expertise in statistical modelling and data mining techniques.
• Comfortable using data science techniques for problem-solving.

Responsibilities

• Drive collaboration with cross-functional teams.
• Develop algorithms and machine learning models.
• Communicate insights to stakeholders.

Skills

Python

Statistical modelling

Machine learning

Data analysis

Data visualization

Data cleansing

Version control (Git)

Education

Degree in Computer Science

Degree in Mathematics

Degree in Statistics

Degree in Data Science

Tools

NumPy

Pandas

Scikit-Learn

Matplotlib

Plotly

AWS

Job description

Responsibilities

• Drive collaboration with cross‑functional teams to identify business problems and translate them into data‑driven solutions and deliverables.
• Provide technical guidance to other data scientists within the team.
• Develop algorithms and statistical & machine learning models to analyse and interpret complex data sets.
• Communicate insights and results to technical and non‑technical stakeholders.
• Interact with clients or stakeholders to understand their requirements and translate them into actionable insights or solutions.
• Be accountable for data quality and accuracy in all deliverables.
• Stay up to date with emerging trends and technologies in the field of data science.

General Requirements

• Proven experience as a data scientist using Python and a range of libraries (NumPy, Pandas, Scikit‑Learn, Matplotlib, Plotly, etc.).
• Strong expertise in statistical modelling, machine learning, and data mining techniques, particularly using time‑series data.
• Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage.
• Experience with data analysis, data visualization, and data cleansing.
• Experience with version control systems, preferably Git.
• An engineering or motorsport background is desirable but not strictly required.
• Experience in applying data science with the context of engineering, manufacturing or industrial operations desirable.
• Reinforcement learning (i.e., data‑driven modelling + control optimisation) desirable.
• Degree in Computer Science, Mathematics, Statistics, Data Science or a related field desirable.

Personal Profile

• Able to use data science techniques to efficiently solve problems.
• Able to break down complex or ambiguous tasks into specific deliverables.
• Result‑orientated (understanding the use of data science in the context of the problem).
• Good organisational skills, balancing the requirements of a range of projects with a controlled approach to your work.
• Comfortable operating in a fast‑paced and fluid environment.
• Self‑motivated, demonstrating initiative, enthusiasm and a positive attitude.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently as well as in a team environment.
• Passion for learning and staying up to date with new technologies and best practices.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Business Consulting and Services

Location: London, England, United Kingdom