57 Data Science jobs in Bristol
Remote Data Science Apprentice
BS1 1DQ Bristol, South West
£18000 Annually
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Posted 3 days ago
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Job Description
Our client is seeking ambitious and analytically minded individuals to join their team as Remote Data Science Apprentices. This program offers an exceptional opportunity to kickstart a career in the high-demand field of data science, entirely from a remote location. You will receive comprehensive training, mentorship from experienced data scientists, and hands-on experience working on real-world projects. This apprenticeship is designed for individuals with a strong aptitude for numbers, logic, and problem-solving, who are eager to learn and contribute.
Responsibilities:
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Learn and apply statistical modeling and machine learning techniques to analyze data and identify trends.
- Support the development and implementation of predictive models and algorithms.
- Contribute to the creation of data visualizations and reports to communicate findings effectively.
- Participate in team meetings and contribute to project discussions.
- Learn to use various data science tools and programming languages (e.g., Python, R, SQL).
- Assist in documenting data processes, methodologies, and project outcomes.
- Undertake online training modules and self-study to build a strong foundation in data science concepts.
- Collaborate with team members on assigned tasks and projects in a virtual environment.
- Develop problem-solving skills and a keen eye for detail in data analysis.
- A strong passion for data and technology, with a genuine interest in pursuing a career in data science.
- A minimum of 5 GCSEs or equivalent, including Maths (Grade B/6 or above), or A-Levels (or equivalent) in a STEM subject.
- Demonstrated aptitude for logical thinking and problem-solving.
- Basic understanding of mathematical concepts and statistics is advantageous.
- Excellent communication skills, both written and verbal, for remote collaboration.
- Ability to work independently, stay motivated, and manage time effectively in a remote setting.
- Proficiency with basic computer skills and a willingness to learn new software.
- Enthusiasm for continuous learning and professional development.
- A proactive approach to tasks and a willingness to ask questions.
- Access to a reliable internet connection and a suitable home working environment.
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Advanced Apprentice - Data Science
BS1 4ST Bristol, South West
£20000 annum (duri
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Posted 3 days ago
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Our client is offering an exceptional opportunity for ambitious individuals to embark on a career in Data Science through a comprehensive Advanced Apprenticeship program. This is a fully remote role, allowing you to gain valuable industry experience and academic qualifications from the comfort of your home. You will work alongside experienced data scientists, contributing to real-world projects while undertaking a structured learning path towards a recognized qualification. This program is designed to equip you with the essential skills and knowledge to excel in the field of data analysis, interpretation, and predictive modeling.
Your responsibilities will evolve as you progress but will include:
To be considered for this apprenticeship, you will typically need to have achieved a minimum of 5 GCSEs at grades 9-4 (or equivalent), including English and Mathematics, or a relevant Level 3 qualification (e.g., A-Levels, BTEC). A strong aptitude for problem-solving, logical thinking, and a keen interest in mathematics and technology are essential. You must be highly motivated, eager to learn, and capable of working independently and collaboratively in a remote setting. Excellent communication skills and a proactive approach to learning are paramount. This fully remote apprenticeship offers a fantastic pathway into a high-demand career, providing a salary, training, and the chance to gain invaluable professional experience. If you are looking to kick-start your career in Data Science and are based within reasonable commuting distance for occasional meetings (though primarily remote) in the **Bristol, South West England, UK** area, we encourage you to apply.
Your responsibilities will evolve as you progress but will include:
- Assisting in the collection, cleaning, and preparation of large datasets for analysis.
- Supporting the development and implementation of data models and algorithms under supervision.
- Learning and applying various data visualization techniques to communicate insights effectively.
- Contributing to data quality checks and validation processes.
- Collaborating with team members on data-related projects.
- Participating actively in training sessions, workshops, and academic study.
- Developing proficiency in programming languages commonly used in data science (e.g., Python, R).
- Gaining experience with data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn).
- Understanding fundamental statistical concepts and their application in data analysis.
- Adhering to data privacy and security protocols.
- Assisting in the creation of reports and dashboards summarizing findings.
To be considered for this apprenticeship, you will typically need to have achieved a minimum of 5 GCSEs at grades 9-4 (or equivalent), including English and Mathematics, or a relevant Level 3 qualification (e.g., A-Levels, BTEC). A strong aptitude for problem-solving, logical thinking, and a keen interest in mathematics and technology are essential. You must be highly motivated, eager to learn, and capable of working independently and collaboratively in a remote setting. Excellent communication skills and a proactive approach to learning are paramount. This fully remote apprenticeship offers a fantastic pathway into a high-demand career, providing a salary, training, and the chance to gain invaluable professional experience. If you are looking to kick-start your career in Data Science and are based within reasonable commuting distance for occasional meetings (though primarily remote) in the **Bristol, South West England, UK** area, we encourage you to apply.
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Junior Data Scientist - Predictive Analytics
BS1 4RB Bristol, South West
£25000 Annually
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Posted 3 days ago
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Embark on your career journey with our client as a Junior Data Scientist, focusing on advanced predictive analytics. This is an exceptional opportunity for a recent graduate to gain hands-on experience in a fully remote, collaborative environment. You will work alongside a team of experienced data professionals, contributing to the development and implementation of sophisticated machine learning models. Your responsibilities will include data collection, cleaning, and preprocessing, exploratory data analysis, feature engineering, model training, validation, and deployment. You will assist in identifying key performance indicators, developing dashboards for data visualization, and communicating findings to stakeholders. We are looking for enthusiastic individuals with a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics. A foundational understanding of statistical modelling, machine learning algorithms (regression, classification, clustering), and programming languages like Python or R is essential. Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) would be a significant advantage. Excellent problem-solving skills, a keen eye for detail, and a passion for uncovering insights from data are paramount. This role is perfect for someone eager to learn, contribute, and grow within a supportive, remote-first team. You will have the chance to apply theoretical knowledge to real-world business challenges and develop a strong portfolio of data science projects. Our client is committed to fostering talent and provides excellent mentorship and training opportunities. This role is advertised for **Bristol, South West England, UK**, but is conducted entirely remotely, allowing you to work from your chosen location across the UK.
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Remote Graduate Trainee - Data Science
Bristol, South West
£25000 annum (pro-
WhatJobs
Posted 3 days ago
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Our client, a pioneering technology firm, is seeking enthusiastic and highly motivated Graduate Trainees to join their data science team on a fully remote basis. This is an excellent opportunity for recent graduates to kick-start their careers in data science, gaining hands-on experience and developing cutting-edge skills within a supportive and innovative environment. As a remote Graduate Trainee, you will work closely with experienced data scientists, contributing to exciting projects that leverage data to drive business insights and solutions. Your responsibilities will include data collection, cleaning, and pre-processing, assisting in the development and implementation of machine learning models, performing statistical analysis, and visualising data to communicate findings effectively. You will be exposed to various data science tools and technologies and have the opportunity to learn from industry experts. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline. A keen interest in data analysis, machine learning, and artificial intelligence is essential. While previous professional experience is not required, a demonstrable passion for data and problem-solving through analytical means is highly valued. This role requires strong analytical and logical thinking skills, excellent communication abilities for remote collaboration, and a proactive, self-driven approach to learning and development. You will have the chance to contribute to real-world projects, develop a robust portfolio, and build a strong foundation for a successful career in data science. We are committed to providing a comprehensive remote training experience.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preparation for analysis.
- Support the development and testing of machine learning models.
- Perform statistical analysis on datasets.
- Create data visualizations to present findings.
- Collaborate with senior data scientists on project tasks.
- Learn and apply various data science tools and programming languages (e.g., Python, R).
- Contribute to the documentation of data science processes and findings.
- Participate in team meetings and learning sessions.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a closely related quantitative field.
- Strong understanding of fundamental statistical concepts and data analysis techniques.
- Familiarity with programming languages such as Python or R is advantageous.
- Enthusiasm for data science, machine learning, and artificial intelligence.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote team.
- Self-motivated with a strong desire to learn and grow.
- Ability to manage time effectively and work independently.
This advertiser has chosen not to accept applicants from your region.
3
Remote Senior Data Scientist - Predictive Analytics
BS1 4BS Bristol, South West
WhatJobs
Posted 3 days ago
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Our client, a pioneering financial technology company, is seeking a highly motivated Senior Data Scientist with expertise in Predictive Analytics to join their expanding, fully remote team. This is an exceptional opportunity to leverage vast datasets to build sophisticated models that drive critical business decisions and product innovation. You will be at the forefront of developing and deploying machine learning models for forecasting, risk assessment, customer behaviour analysis, and fraud detection. The ideal candidate will possess a strong theoretical foundation in statistics and machine learning, combined with practical experience in applying these techniques to real-world problems. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and SQL are essential. You will work closely with product managers, engineers, and other data scientists to translate business needs into analytical solutions. Key responsibilities include data exploration, feature engineering, model development, validation, and monitoring. A PhD or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Physics) is highly desirable. We are looking for individuals who are passionate about uncovering insights from data, possess excellent communication skills, and thrive in a collaborative, remote-first environment.Responsibilities:
- Design, develop, and implement advanced predictive models using machine learning and statistical techniques.
- Perform in-depth data analysis, including exploratory data analysis, data mining, and feature engineering.
- Collaborate with stakeholders to understand business requirements and translate them into data science problems.
- Evaluate and select appropriate algorithms and methodologies for various prediction tasks.
- Build and maintain robust data pipelines for model training and deployment.
- Validate model performance, interpret results, and communicate findings to technical and non-technical audiences.
- Monitor deployed models for drift and performance degradation, implementing necessary updates.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's knowledge sharing.
- Contribute to the ethical and responsible use of data and AI.
- Master's or PhD in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- 5+ years of experience as a Data Scientist or in a similar role, with a focus on predictive modeling.
- Strong programming skills in Python or R, including proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Extensive experience with SQL and database systems.
- Experience with big data technologies such as Spark, Hadoop, or cloud-based data warehousing.
- Deep understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, time series analysis).
- Proven ability to effectively communicate complex technical concepts to diverse audiences.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Strong analytical and problem-solving skills.
- Experience in the FinTech industry is a plus.
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4
Data Analysis Starter Course (Hiring Immediately)
BS1 5TR Bristol, South West
ITonlinelearning Recruitment
Posted today
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Job Description
Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: 28,000 38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
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5
Agronomist - Remote Sensing and Data Analysis
BS1 4DJ Bristol, South West
£55000 Annually
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Posted 3 days ago
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Our client is seeking a highly skilled and innovative Agronomist specializing in remote sensing and data analysis to join their fully remote team. This position offers a unique opportunity to leverage cutting-edge technology to advance agricultural practices and sustainability from your home office. You will be responsible for acquiring, processing, and analyzing geospatial data from satellites, drones, and other sensors to provide actionable insights for crop health, soil conditions, and yield prediction. The ideal candidate will possess a strong background in agronomy, a deep understanding of remote sensing principles and GIS software, and exceptional data analysis capabilities. This role is crucial for informing precision agriculture strategies and driving efficiency in the agricultural sector, working with farms and agricultural businesses across the UK, including those in the Bristol, South West England, UK region.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Acquire, process, and analyze remote sensing data (satellite imagery, drone data, LiDAR) for agricultural applications.
- Develop and implement algorithms for crop health monitoring, disease detection, and stress identification.
- Utilize GIS software to map and analyze soil properties, topography, and irrigation needs.
- Integrate various data sources (weather, soil, imagery) to develop predictive models for crop yield and risk assessment.
- Provide expert agronomic advice based on data analysis to support farm management decisions.
- Create clear and concise reports and visualizations to communicate findings to clients and stakeholders.
- Stay abreast of advancements in remote sensing technology, GIS, and agricultural analytics.
- Collaborate with research teams and industry partners to test and validate new methodologies.
- Contribute to the development of proprietary software and analytical tools.
- Ensure data quality, integrity, and adherence to best practices in geospatial data management.
Qualifications:
- M.Sc. or Ph.D. in Agronomy, Soil Science, Geospatial Science, or a related agricultural discipline.
- Minimum of 5 years of experience in applying remote sensing and GIS technologies in agriculture.
- Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS platforms (e.g., ArcGIS, QGIS).
- Strong programming skills in languages such as Python or R for data analysis and scripting.
- Experience with image processing techniques and geospatial data analysis.
- Deep understanding of crop physiology, soil science, and agricultural production systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and manage projects effectively in a remote setting.
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6
Senior Geotechnical Engineer - Remote Sensing & Data Analysis
BS1 4LA Bristol, South West
£70000 Annually
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Posted 3 days ago
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Our client is a global leader in mining and resource management, seeking an innovative Senior Geotechnical Engineer with expertise in remote sensing and data analysis to join their progressive team. This is a fully remote position, offering the flexibility to work from anywhere in the UK while contributing to critical, large-scale mining projects worldwide. The Senior Geotechnical Engineer will focus on leveraging advanced remote sensing technologies (e.g., satellite imagery, LiDAR, drone-based surveys) and sophisticated data analysis techniques to monitor, assess, and manage geotechnical risks associated with mine sites. You will be instrumental in developing and implementing novel approaches to slope stability analysis, tailings dam monitoring, and ground movement prediction. The role requires a deep understanding of geotechnical principles, geological processes, and the application of remote sensing data in an engineering context. You will lead the interpretation of vast datasets, develop predictive models, and provide crucial insights to ensure the safety and efficiency of mining operations. Key responsibilities include the development and validation of algorithms for data processing, the creation of comprehensive geotechnical risk assessments, and the integration of remote sensing data with other geotechnical monitoring methods. The successful candidate will collaborate closely with on-site geotechnical teams, geologists, and data scientists, facilitating effective communication and knowledge transfer. Strong analytical, problem-solving, and programming skills (e.g., Python, R) are essential. Experience with GIS software and geotechnical modelling packages is also highly desirable. This is an exciting opportunity to push the boundaries of geotechnical engineering by harnessing the power of remote sensing and data analytics in a challenging and impactful industry, all from a remote work setup.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the application of remote sensing technologies for geotechnical monitoring of mine sites.
- Develop and implement data analysis workflows for satellite, aerial, and drone-based surveys.
- Analyse complex datasets to assess slope stability, ground deformation, and tailings storage facility integrity.
- Develop predictive geotechnical models using machine learning and statistical techniques.
- Integrate remote sensing data with other geotechnical monitoring tools (e.g., InSAR, ground-based radar).
- Conduct comprehensive geotechnical risk assessments and provide mitigation strategies.
- Collaborate with and provide technical support to on-site geotechnical and geological teams.
- Prepare detailed technical reports, presentations, and data visualisations.
- Stay abreast of advancements in remote sensing, GIS, and geotechnical engineering.
- Contribute to the development of best practices and standards for remote geotechnical monitoring.
Qualifications:
- MSc or PhD in Geotechnical Engineering, Civil Engineering, or a related field with a focus on remote sensing or data analysis.
- Significant experience in applying remote sensing technologies (InSAR, LiDAR, photogrammetry) to geotechnical engineering challenges.
- Expertise in data analysis, statistical modelling, and machine learning techniques.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and programming languages (e.g., Python, R).
- Strong understanding of geotechnical principles, soil mechanics, and rock mechanics.
- Experience in interpreting geological and geotechnical data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills for technical reporting and presentations.
- Ability to work independently and manage projects in a remote environment.
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Lead Remote Sensing Scientist - Earth Observation Data Analysis
BS1 6XL Bristol, South West
£60000 Annually
WhatJobs
Posted 3 days ago
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Our client is seeking an innovative Lead Remote Sensing Scientist to spearhead critical research and development initiatives. This is a fully remote position, enabling you to work from anywhere within the UK, focusing on the advanced analysis of Earth observation data. You will lead projects that leverage satellite imagery and other geospatial datasets to address complex environmental, agricultural, and urban planning challenges. Responsibilities include developing and implementing novel algorithms for data processing, feature extraction, and change detection. You will manage the full lifecycle of remote sensing projects, from data acquisition and pre-processing to advanced analysis and interpretation, ensuring the delivery of actionable insights. This role requires a deep understanding of various remote sensing platforms (e.g., Sentinel, Landsat, Planet) and sensor types (optical, radar, lidar), as well as proficiency in GIS software and programming languages such as Python or R. You will be expected to stay abreast of the latest advancements in remote sensing technology and machine learning techniques applicable to geospatial data. A key component of this role is mentoring and guiding a team of remote sensing analysts, fostering a collaborative and scientifically rigorous remote working environment. You will also be responsible for preparing research proposals, securing funding, and disseminating findings through peer-reviewed publications and conference presentations. The ideal candidate possesses a PhD in Remote Sensing, Geography, Environmental Science, or a related field, with a minimum of 8 years of progressive experience in the field. Exceptional analytical skills, a passion for data-driven discovery, and a proven ability to lead complex research projects are essential. Experience with cloud-based geospatial platforms (e.g., Google Earth Engine, AWS) is highly desirable. If you are driven by scientific curiosity and eager to make a significant impact using cutting-edge geospatial technologies from a remote setting, we invite you to apply.
Key Responsibilities:
Key Responsibilities:
- Lead research and development projects using Earth observation data.
- Develop and apply advanced remote sensing algorithms and analytical techniques.
- Manage project lifecycles from data acquisition to final reporting.
- Mentor and guide a remote team of geospatial analysts.
- Stay current with technological advancements in remote sensing and machine learning.
- Contribute to funding applications and scientific publications.
- Interpret and present complex geospatial findings to diverse stakeholders.
- PhD in Remote Sensing, Geography, Environmental Science, or a related field.
- Minimum of 8 years of experience in remote sensing data analysis.
- Expertise in GIS software and programming languages (Python, R).
- Proficiency with various satellite data sources and processing techniques.
- Demonstrated experience in leading research projects and teams.
- Strong publication record and presentation skills.
- Familiarity with cloud-based geospatial platforms.
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8
Machine Learning Operations Lead
Bristol, South West
£70000 - £90000 Annually
Hunter Selection
Posted 4 days ago
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Job Description
Lead Machine Learning Operations Engineer - Remote - 70-90k + Excellent Benefits
We're seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you'll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production.
What you'll be doing as Lead ML Ops Engineer:
- Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake
- Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis)
- Driving integration with cloud-based data storage solutions such as Snowflake
- Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals
- Establishing best practices for model deployment, monitoring, and lifecycle management
- Conducting performance tuning, load testing, and reliability engineering
- Managing CI/CD workflows and infrastructure as code via Azure DevOps and GitHub
- Mentoring junior engineers and fostering a culture of technical excellence and innovation
What we're looking for from the Machine Learning Operations Lead:
- Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures
- Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture
- Hands-on experience with Docker, container orchestration, and scalable API design
- Excellent communication and stakeholder management skills
- Ability to drive strategic initiatives and influence technical direction
- Bonus: experience with Azure Functions, Azure Containers, or Application Insights
Benefits for the Machine Learning Operations Engineer:
- 25 days holiday (rising with service) + bank holidays
- Annual discretionary bonus
- Enhanced pension scheme
- Flexible working and flexi-time options
- Healthcare cash plan
- Electric vehicle salary sacrifice scheme
- Discounts scheme
- Wellbeing app
- Enhanced maternity and paternity leave
- Life assurance (4x salary)
- Cycle to Work scheme
- Employee referral scheme
If you are interested in this position please click 'apply'.
Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.
Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.
For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
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