Data Scientist

Hernshead Recruitment Ltd; United Kingdom; On-site; GBP 40,000 - 60,000; Full time

Job summary

A recruitment agency in the United Kingdom is seeking an experienced Data Scientist to lead data-driven initiatives and collaborate with multidisciplinary teams. The successful candidate will provide technical leadership, ensuring high-quality data insights, while engaging directly with clients to translate technical outcomes into actionable business solutions. A strong background in statistics, machine learning, and proficiency in Python is required for this role.

Qualifications

• Proven experience as a Data Scientist.
• Proficiency in Python and data libraries.
• Strong background in statistical modelling and machine learning.
• Experience with time-series data.
• Familiarity with version control systems, preferably Git.

Responsibilities

• Collaborate with teams to develop data-driven solutions.
• Provide mentorship to other data scientists.
• Design algorithms and models for analysis.
• Communicate insights to stakeholders.
• Engage with clients to understand requirements.
• Ensure quality and integrity of data outputs.

Skills

Python

NumPy

Pandas

Scikit-learn

Matplotlib

Plotly

Statistical modelling

Machine learning

Data mining

Data visualisation

Git

Education

Degree in Computer Science

Mathematics

Statistics

Data Science

Tools

AWS

Job description

About this Position:

This role involves leading data-driven initiatives to address complex business challenges through advanced analytics and machine learning. The successful candidate will collaborate across multidisciplinary teams, providing technical leadership and ensuring the delivery of accurate, high-quality data insights. The position also offers the opportunity to engage directly with clients or stakeholders, translating technical outcomes into actionable business solutions.

Job Responsibilities:

• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.


• Provide technical mentorship and guidance to other data scientists.


• Design and implement algorithms, statistical models, and machine learning solutions to analyse complex data sets.


• Communicate analytical insights clearly to both technical and non-technical stakeholders.


• Engage with clients to understand requirements and convert them into deliverable insights.


• Ensure the accuracy, integrity, and quality of all data outputs.


• Stay informed on emerging trends, technologies, and best practices in data science.

Experience Required:

• Proven experience as a Data Scientist with proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly.


• Strong background in statistical modelling, machine learning, and data mining, with experience working on time-series data.


• Knowledge of data engineering principles, including pipelines, databases, and infrastructure; AWS experience is advantageous.


• Experience with data visualisation, analysis, and cleansing.


• Familiarity with version control systems, preferably Git.


• Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field is desirable.


• Background in engineering, motorsport, or industrial operations is beneficial.


• Experience with reinforcement learning and control optimisation is desirable.


• Excellent problem-solving and organisational skills, with the ability to manage multiple projects effectively.


• Strong communication, collaboration, and stakeholder management abilities.


• Self-motivated, adaptable, and capable of thriving in a dynamic, fast-paced environment.


• Passion for continuous learning and professional development in data science and emerging technologies.