Data Scientist Jobs in the United Kingdom

Last Updated : 28 Mar, 2024

In the UK, the subject of data science is expanding quickly, and there is a rising need for qualified experts who can draw conclusions from data and use those conclusions to inform business decisions. In this post, we’ll look at UK organizations that are currently employing data scientists, well-known job boards where you can find relevant positions, salary trends, and answers to commonly asked questions regarding data scientist employment in the nation.

Here’s a breakdown of some common roles and responsibilities of a data scientist:

Data Collection and Cleaning: Data scientists gather data from various sources and ensure its quality through cleaning and preprocessing.
Exploratory Data Analysis (EDA): Data scientists explore datasets using statistical and visualization techniques to understand patterns and anomalies.
Statistical Modeling and Machine Learning: Data scientists build predictive models by selecting algorithms, engineering features, and optimizing model performance.
Data Visualization: Data scientists communicate insights effectively using visualization tools like Matplotlib, Seaborn, Tableau, or Power BI.
Feature Engineering: Data scientists select and transform relevant features to improve model performance.
Model Deployment and Integration: Data scientists deploy models into production environments and integrate them with existing systems.

Companies Hiring Data Scientists:

Google UK

Requirements:

Proficiency in programming languages such as Python, R, or SQL
Strong analytical and problem-solving skills
Experience with machine learning algorithms and data visualization techniques

Apply Here: Careers

Amazon UK

Requirements:

Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
Experience with big data technologies such as Hadoop, Spark, or TensorFlow
Strong communication and teamwork skills

Apply Here: Careers

Facebook UK

Requirements:

Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Physics)
Proficiency in statistical analysis and machine learning techniques
Experience with data visualization tools such as Tableau or Power BI

Apply Here: Careers

Barclays

Requirements:

Strong understanding of statistical modeling and data mining techniques
Experience with cloud platforms such as AWS or Azure
Ability to communicate complex ideas to non-technical stakeholders

Apply Here: Careers

Deloitte UK

Requirements:

Experience in data cleaning, preprocessing, and feature engineering
Proficiency in machine learning libraries such as scikit-learn or TensorFlow
Strong project management skills and ability to work in a team

Apply Here: Careers

GSK (GlaxoSmithKline)

Requirements:

Proficiency in data analysis tools such as SAS, SPSS, or MATLAB
Experience with healthcare or pharmaceutical data analytics
Strong communication and collaboration skills

Apply Here: Careers

British Airways

Requirements:

Proficiency in programming languages such as Python, R, or Scala
Experience with data analysis and visualization tools like Tableau or Power BI
Strong problem-solving and analytical skills

Apply Here: Careers

HSBC

Requirements:

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or related field
Experience with machine learning techniques and algorithms
Excellent communication and presentation skills

Apply Here: Careers

Tesco

Requirements:

Proficiency in statistical analysis and data mining techniques
Experience with big data technologies such as Hadoop, Spark, or Hive
Ability to work collaboratively in a fast-paced environment

Apply Here: Careers

Lloyds Banking Group

Requirements:

Strong understanding of statistical modeling and predictive analytics
Experience with cloud computing platforms like AWS or Google Cloud
Bachelor’s degree in a quantitative field or equivalent experience

Apply Here: Careers

Virgin Media

Requirements:

Proficiency in data analysis tools such as SAS, SPSS, or MATLAB
Experience with customer analytics or market segmentation
Strong communication and collaboration skills

Apply Here: Careers

Ocado

Requirements:

Experience in data engineering, data warehousing, and ETL processes
Proficiency in SQL and scripting languages like Python or Bash
Ability to work with large-scale datasets and distributed systems

Apply Here: Careers

Royal Mail

Requirements:

Strong analytical skills and proficiency in data analysis tools
Experience with data visualization techniques and tools
Bachelor’s or Master’s degree in a relevant field

Apply Here: Careers

British Telecom (BT)

Requirements:

Proficiency in programming languages such as Python, Java, or Scala
Experience with machine learning algorithms and techniques
Strong problem-solving and analytical skills

Apply Here: Careers

Vodafone

Requirements:

Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
Experience with data analysis and visualization tools
Excellent communication and collaboration skills

Apply Here: Careers

PwC (PricewaterhouseCoopers)

Requirements:

Experience in data analysis, statistical modeling, and machine learning
Proficiency in programming languages such as Python or R
Strong project management and communication skills

Apply Here: Careers

Job Portals:

Indeed (Link)

Glassdoor (Link)

Reed (Link)

Data scientists’ pay:

In the UK, data scientists’ salaries vary according to their industry, region, and level of expertise. In the UK, data scientists typically make between £40,000 and £70,000 annually. Senior data scientists with a lot of expertise can get more money, up to £80,000 a year.

Experience Wise Salary Trend

The typical annual compensation for entry-level data scientists with less than two years of experience is between £30,000 and £40,000.

With two to five years of experience, mid-level data scientists usually make between £40,000 and £55,000 a year.

Salary ranges for senior data scientists with more than five years of experience might be as high as £70,000.