Data, AI & Analytics
Data Scientist Jobs & Careers
Looking for your next Data Scientist opportunity?
HOK Consulting connects Data Scientists with organisations using data, machine learning and artificial intelligence to solve complex problems and improve decision-making across permanent, contract and interim opportunities.
Whether your experience covers Python, SQL, machine learning, Databricks, Snowflake or cloud-based data platforms, explore current opportunities or upload your CV to join HOK’s technology talent network.
Current Data Scientist Jobs
Explore current Data Scientist opportunities available through HOK Consulting.
Can’t see the right Data Scientist role?
If there are currently no suitable Data Scientist vacancies listed, upload your CV and tell us what you’re looking for. Our team can contact you when a relevant permanent, contract or interim opportunity becomes available.
What Does a Data Scientist Do?
Data Scientists use statistical analysis, programming and machine learning to identify patterns in data and develop models that help organisations answer questions, predict outcomes and make better decisions.
The role commonly involves exploring large datasets, developing analytical and machine learning models, testing hypotheses and translating complex findings into useful insights for technical and business stakeholders.
Data Scientists often work alongside Data Engineers, Machine Learning Engineers, Analytics Engineers and business teams to turn data into practical models, products and decision-support tools.
Data Scientist Skills & Experience
The exact technical requirements vary between organisations, but Data Scientist roles commonly involve experience across areas such as:
- Data Science
- Python
- SQL
- Machine Learning
- Artificial Intelligence
- Generative AI
- Data Analytics
- Statistical Analysis
- Predictive Modelling
- Data Modelling
- Databricks
- Snowflake
- Apache Spark
- PySpark
- Azure Data Services
- AWS Data Services
- Google BigQuery
- Amazon Redshift
- Data Governance
- Data Visualisation
Data Scientists may specialise in predictive modelling, machine learning, artificial intelligence or particular business domains, while others work across broader analytics and data science environments.
Strong analytical thinking and the ability to communicate complex findings clearly are particularly important when turning technical analysis into decisions that can be understood and acted upon.
Typical Data Scientist Responsibilities
- Exploring and analysing large and complex datasets
- Developing statistical and machine learning models
- Identifying patterns, trends and relationships within data
- Preparing and transforming data for analysis and modelling
- Writing analytical code using Python and SQL
- Evaluating model performance and improving accuracy
- Developing predictive and decision-support solutions
- Working with Data Engineers to access reliable data
- Supporting artificial intelligence and machine learning initiatives
- Communicating analytical findings to technical and business stakeholders
- Supporting data quality and governance requirements
- Helping move successful models from experimentation towards production use
Responsibilities vary depending on the organisation, data environment and whether the role focuses on analytics, predictive modelling, machine learning, artificial intelligence or wider data science.
Data Scientist Salary Expectations
Data Scientist salaries vary according to experience, location, technical specialism, sector and the complexity of the data and modelling environments involved.
Permanent Data Scientist
Around £75,000 per year
UK median advertised salary
Contract Data Scientist
Around £600 per day
UK median contract rate
Senior Data Scientists and professionals with specialist machine learning, generative AI, financial services, large-scale modelling or cloud data experience may command higher salaries or contract rates.
Salary information is provided as a general UK market guide and can vary significantly between individual roles.
Data Scientist Career Progression
Data Science can lead into senior data science, machine learning, artificial intelligence and wider data leadership positions.
Typical Data Scientist Career Path
Alternative Career Paths
Data Scientists may also progress into roles such as:
- Machine Learning Engineer
- AI Engineer
- AI Architect
- Data Architect
- Head of Data
- Chief Data Officer
The right progression depends on whether you want to deepen your data science expertise, move towards production machine learning and AI, specialise in architecture or take responsibility for wider data teams and strategy.
Your Next Move
Looking for Your Next Data Scientist Opportunity?
If you’re considering your next permanent position, contract assignment or interim opportunity, send HOK Consulting your CV.
Tell us about the data science problems you’ve worked on, the modelling techniques and technologies you use and the type of opportunity you’re looking for.
Specialist Recruitment
Data, AI & Analytics Recruitment
Data Science forms part of HOK Consulting’s wider Data, AI & Analytics recruitment expertise, connecting organisations with professionals across data engineering, data science, artificial intelligence, machine learning, business intelligence, analytics and data architecture.
Hiring?
Recruiting Data Scientists?
HOK Consulting supports organisations looking for experienced Data Scientists across permanent, contract and interim requirements.
Whether you’re building predictive models, expanding machine learning capability, developing AI use cases or strengthening a wider data and analytics function, speak to HOK about your requirements.