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.
Data Scientist Jobs in the United Kingdom – FAQs
What qualifications are necessary for data scientists?
Proficiency in programming languages, statistical analysis, machine learning algorithms, data visualisation, and problem-solving techniques are crucial for data scientists.
Which sectors in the UK employ data scientists?
There is a need for data scientists in many different sectors, including manufacturing, retail, healthcare, technology, and finance.
How can I work in data science?
You can obtain practical experience through internships or projects, pursue relevant education in computer science, statistics, or data science, and keep up to current on the newest tools and techniques to become a data scientist.
What duties do data scientists often perform?
A data scientist’s typical duties include gathering and preparing data, exploratory data analysis, predictive modelling, data visualisation, and informing relevant parties of findings.