Data Scientist

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

Job summary

A leading tech company in the United Kingdom is seeking a mid-senior level Data Scientist to develop data-driven solutions. The ideal candidate will have proven experience with Python and statistical modelling, along with the ability to communicate insights effectively. This full-time role offers the opportunity to work collaboratively while utilizing data science techniques in a fast-paced environment.

Qualifications

• Proven experience as a data scientist using Python.
• Strong expertise in statistical modelling and machine learning.
• Experience in data engineering with pipelines and databases.
• Experience with data analysis, visualization, and cleansing.
• Experience with version control systems, preferably Git.

Responsibilities

• Drive collaboration with cross-functional teams to identify business problems.
• Develop algorithms and statistical models to analyse complex data sets.
• Communicate insights and results to stakeholders.
• Be accountable for data quality and accuracy in deliverables.

Skills

Python

Statistical modelling

Machine learning

Data mining

Data analysis

Data visualization

Data cleansing

Git

Education

Degree in Computer Science, Mathematics, Statistics, Data Science or related field

Tools

Numpy

Pandas

Scikit-Learn

Matplotlib

Plotly

AWS

Job description

Join to apply for the Data Scientist role at PurpleSector

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 timeseries data.
• Experience in 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-oriented (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
• Business Consulting and Services