1,300 Data Science Consultant jobs in the United Kingdom

Senior Consultant - Data Science & Machine Learning
Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites
Salary: 60,000 - 90,000 per annum
Security: SC required to start, must be willing to obtain DV

Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to projects that really matter? We're growing a specialist team in Manchester and are looking for people who want to shape the future of AI in Defence and National Security.

You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth.

What we're looking for

• Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia.
• Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or scikit-learn.
• Familiarity with cloud-based toolkits (AWS, Azure, GCP).
• Strong communication skills - able to explain complex findings clearly to technical and non-technical stakeholders.
• Collaborative, curious and eligible for DV clearance.

Why this role?

• Work only on high-value, impactful Defence projects.
• Join at the ground floor of a growing team, with opportunities to lead and shape its direction.
• Enjoy progression, variety and hybrid flexibility in a modern city-centre location.

If you're passionate about advancing AI and want your work to make a real difference, we'd love to hear from you.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

Senior Consultant - Data Science & Machine Learning
Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites
Salary: 60,000 - 90,000 per annum
Security: SC required to start, must be willing to obtain DV

Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to projects that really matter? We're growing a specialist team in Manchester and are looking for people who want to shape the future of AI in Defence and National Security.

You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth.

What we're looking for

• Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia.
• Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or scikit-learn.
• Familiarity with cloud-based toolkits (AWS, Azure, GCP).
• Strong communication skills - able to explain complex findings clearly to technical and non-technical stakeholders.
• Collaborative, curious and eligible for DV clearance.

Why this role?

• Work only on high-value, impactful Defence projects.
• Join at the ground floor of a growing team, with opportunities to lead and shape its direction.
• Enjoy progression, variety and hybrid flexibility in a modern city-centre location.

If you're passionate about advancing AI and want your work to make a real difference, we'd love to hear from you.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.

• Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
• Develop predictive models for crop growth, disease outbreaks, and pest infestations.
• Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
• Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
• Collaborate with the R&D team to improve data collection methodologies and analytical tools.
• Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
• Contribute to the development of best practices for sustainable agriculture through data analysis.
• Assist in the design and execution of field trials to validate analytical models and recommendations.
• Troubleshoot data quality issues and implement data cleansing procedures.
• Communicate effectively with clients and internal teams through virtual channels.

• A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
• Proficiency in data analysis tools such as R, Python, or similar programming languages.
• Experience with GIS software and remote sensing data interpretation.
• Knowledge of various crop types and agricultural systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey technical information effectively.
• Proven ability to work independently, manage projects, and deliver results in a remote setting.
• Experience in a client-facing role or providing advisory services is a plus.
• A passion for sustainable agriculture and technological innovation.

• Assist senior analysts in collecting and cleaning large datasets from various sources.
• Perform data extraction, transformation, and loading (ETL) processes under guidance.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and create clear and concise data visualizations and reports to communicate findings.
• Support the development and testing of analytical models.
• Learn and apply statistical methods and techniques relevant to data analysis.
• Collaborate with team members to understand project requirements and contribute to solutions.
• Maintain accurate documentation of data processes and analytical methodologies.
• Participate in team meetings and training sessions to enhance technical and analytical skills.
• Contribute to ad-hoc data analysis requests as needed.

• A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
• Strong analytical and problem-solving abilities.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• An understanding of statistical concepts and data modelling principles.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is a plus.

• Comprehensive training in data collection, cleaning, and preparation techniques.
• Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
• Developing skills in data interpretation, statistical analysis, and report generation.
• Gaining practical experience through real-world projects and tasks.
• Mentorship from experienced data analysts and professionals.
• Hybrid learning model: structured remote study combined with on-site work experience.
• Opportunity to earn a recognized qualification upon completion.
• Pathway to potential full-time employment with partner companies.

• Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
• A genuine interest in data analysis and technology.
• Strong numerical and analytical abilities.
• Good problem-solving skills and attention to detail.
• Effective communication and interpersonal skills.
• Ability to work collaboratively in a team and independently.
• Commitment to completing the full apprenticeship program.
• Must be eligible to work in the UK and not currently in full-time education.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop reports and visualizations to communicate findings effectively to stakeholders.
• Support senior analysts in building predictive models and analytical solutions.
• Learn and apply statistical methods and data mining techniques.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of data dashboards and performance tracking tools.
• Participate in team meetings, training sessions, and knowledge-sharing activities.
• Stay updated on the latest trends and tools in data analysis and data science.

• Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with data manipulation tools or programming languages (e.g., SQL, Python, R) is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A keen eye for detail and a commitment to accuracy.
• Enthusiasm for learning and developing new skills in data analytics.
• Must be eligible to work in the UK.

• Utilize remote sensing data (e.g., satellite imagery, LiDAR, SAR) to identify geological features, structures, and potential resource targets.
• Process, analyze, and interpret various types of geological and geophysical data, including seismic, magnetic, and gravity data.
• Develop and apply advanced data analysis techniques and algorithms for geological modeling and interpretation.
• Integrate diverse datasets to create comprehensive geological models and maps.
• Conduct literature reviews and historical data analysis to support exploration and resource assessment efforts.
• Prepare detailed technical reports, presentations, and geological maps for internal and external stakeholders.
• Collaborate virtually with geologists, geophysicists, data scientists, and other team members located worldwide.
• Contribute to the development and refinement of data processing workflows and analytical methodologies.
• Stay abreast of the latest advancements in remote sensing technologies, geological software, and data analysis techniques.
• Ensure data quality, integrity, and consistency throughout all analytical processes.
• Assist in the planning and execution of geological surveys and exploration programs.
• Provide geological expertise and insights to support decision-making in resource development projects.
• Maintain and manage geological databases and datasets.

• Master's or Ph.D. in Geology, Geophysics, Remote Sensing, or a closely related field.
• Minimum of 5-7 years of professional experience in geological exploration, with a specific focus on remote sensing and data analysis.
• Proficiency in geological software (e.g., ArcGIS, QGIS, Leapfrog, Petrel) and remote sensing software (e.g., ERDAS Imagine, ENVI).
• Strong programming skills in languages such as Python, R, or MATLAB for data analysis and scripting.
• Experience with GIS and spatial analysis techniques.
• In-depth understanding of geological principles, mineral deposit types, and exploration methods.
• Familiarity with various remote sensing platforms and data acquisition methods.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to clearly present complex technical information.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Experience with machine learning applications in geology is a significant advantage.
• Membership in professional geological societies is desirable.

• Analyze and interpret geological data from various sources, including drill logs, geophysical surveys, geochemical analyses, and remote sensing imagery.
• Develop and maintain geological models using industry-standard software (e.g., Leapfrog, Vulcan, ArcGIS).
• Identify and evaluate prospective areas for mineral and resource exploration based on geological criteria and data analysis.
• Collaborate with exploration and mine planning teams to provide geological input and recommendations.
• Assess the quality and reliability of geological data, implementing data validation and quality control procedures.
• Prepare detailed geological reports, maps, and cross-sections for internal use and external stakeholders.
• Contribute to resource estimation and reserve calculations, ensuring accuracy and adherence to reporting standards (e.g., JORC, NI 43-101).
• Stay abreast of new geological techniques, technologies, and research relevant to mineral exploration and mining.
• Mentor junior geologists and provide technical guidance on data analysis and interpretation.
• Communicate complex geological concepts effectively to both technical and non-technical audiences.
• Participate in virtual team meetings and contribute to project planning and strategy discussions.

• Master's or Ph.D. in Geology, Geological Engineering, or a related earth science discipline.
• Minimum of 8 years of relevant experience in mineral exploration, mining geology, or resource evaluation.
• Demonstrated expertise in geological data analysis, interpretation, and modeling software (e.g., Leapfrog, Vulcan, Datamine, ArcGIS).
• Strong understanding of structural geology, mineralogy, geochemistry, and geophysics.
• Proven ability to manage and interpret large, complex geological datasets.
• Excellent written and verbal communication skills, with strong report writing capabilities.
• Ability to work independently, manage priorities effectively, and meet deadlines in a remote setting.
• Experience with statistical analysis and data visualization techniques.
• Familiarity with international reporting codes for mineral resources and reserves.
• Membership in a relevant professional geological body is advantageous.