Data Scientist Jobs in Bristol

Senior SC Cleared Data Engineer - Azure Databricks Location: Remote Contract: 6 months Rate: £425 - £475 per day, Outside IR35 iO Associates are looking for an experienced SC Cleared Data Engineer with strong Azure Databricks expertise to join a Central Government team responsible for designing & developing high-volume datasets click apply for full job details

Data and Systems Analyst Bristol Who We Are ACH is a social enterprise with a clear vision, dedicated to empowering refugees and migrants in the UK to lead self-sufficient and ambitious lives. We bring together a diverse team of strategists and researchers, driven by their own lived experiences, to provide tailored integration services click apply for full job details

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. Are you looking to start a career in data but don't know where to begin? The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. . click apply for full job details

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Location: UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a st click apply for full job details

Data Analyst Red Recruitment is recruiting a switched-on and detail-oriented Data Analyst to join an innovative fintech organisation in Bristol on a four-week temporary contract. Working within the Product team, you will help ensure the data used by an AI-powered platform is reliable and accurate. You will write and refine instructions for AI models, test data extractions and manually review the results. This is an excellent opportunity for someone who is curious about AI, enjoys solving problems and takes pride in getting the details exactly right. Package for a Data Analyst: - Salary : 15 per hour - Hours : Monday to Friday, 9.00am-5.00pm - Contract : Temporary, four-week contract - Location : Office-based in Bristol - Start Date : Monday 10th August - Full training on the systems, tools and specialist subject matter - Hands-on experience working with AI and large language models - Supportive, collaborative and mission-driven working environment - Opportunity to gain experience within an innovative fintech organisation Key Responsibilities of a Data Analyst: - Writing and refining clear, structured data descriptions that instruct AI models on what information to extract - Reviewing prompts to ensure they accurately reflect the required data points - Running data extraction tests across a range of documents - Manually checking results for accuracy, consistency and completeness - Investigating inaccurate results and refining instructions accordingly - Considering how each data point will be used within the wider product - Flagging definitions that need to be clarified or strengthened - Communicating issues clearly to members of the Product and Engineering teams - Taking ownership of problems and seeing them through to resolution - Supporting the team in maintaining high standards of data quality Key Skills and Experience of a Data Analyst: - Exceptional attention to detail and a commitment to producing accurate work - A logical and analytical approach to reviewing information and solving problems - Strong written communication skills, with the ability to create clear and precise instructions - Confidence working through ambiguity and investigating issues - Ability to learn new systems, tools and subject areas quickly - Strong organisational skills and the ability to remain accurate when completing detailed tasks - A proactive approach and willingness to take ownership of your work - An interest in AI, technology and large language models - Ability to communicate effectively with technical and non-technical colleagues - Previous experience using AI tools or writing prompts is beneficial but not essential If you are highly accurate, naturally curious and excited by the opportunity to work with AI technology, please apply now! Red Recruitment (Business)

Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities - Lead, mentor and develop a team of Data Scientists and Analysts. - Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. - Identify opportunities where AI and data science can create measurable business improvements. - Translate business requirements into scalable analytical solutions. - Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. - Champion innovation by evaluating emerging technologies and best practices within data science and AI. - Present analytical findings and recommendations to senior stakeholders across the organisation. - Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: - Python, SQL and either R or similar analytical languages. - Machine Learning, predictive modelling and statistical analysis. - Databricks or comparable cloud-based analytics platforms. - Tableau, Power BI or other data visualisation tools. - Working with cloud data platforms, data lakes and enterprise data warehouses. - Leading and developing technical teams. - Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer - Salary between 70,000- 80,000 - 10% annual bonus - Private Healthcare - Generous pension - 25 days annual leave plus the option to buy additional holiday - Hybrid working (3 days per week in the Bristol office) - Employee wellbeing programme - Excellent learning and development opportunities - A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.

Trainee Data Engineer Programme No Experience Required This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. Are you looking to start a career in data but don't know where to begin? The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. . click apply for full job details

Data Engineer Programme - No Experience Required This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. Are you looking to start a career in data but don't know where to begin? The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. In today's digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Newto Training's Data Analyst Career Programme is designed to help aspiring professionals gain the qualifications, practical experience and support needed to secure their first role in the industry. Whether you're looking for a complete career change, returning to work, leaving the Armed Forces, or seeking a future-proof career, we'll help you build the skills employers need. Please note: this is a self-funded programme costing around £190 per month How Our Career Programme Works: - Over 100 hours of live instructor-led online training delivered by experienced industry professionals - Three industry-recognised certifications (exam voucher and exam resit support included): - Microsoft Power BI Data Analyst (PL-300) - Microsoft Azure Data Fundamentals (DP-900) - Microsoft Azure AI Fundamentals (AI-901) - Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI - Dedicated 1-to-1 tutor support throughout your learning journey - CV support, interview preparation, and career coaching - Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme, we guarantee a starting salary of up to £40,000. Who Is This Programme For? This programme is designed for individuals with little or no previous experience. You may be: - Looking for a career change - A recent school, college or university leaver - Currently working in another industry - Leaving the Armed Forces - Interested in technology and problem-solving The most important qualities are a willingness to learn, good communication skills and a genuine interest in changing your career. Please note: this is a self-funded programme costing around £190 per month Our Job Guarantee Successfully complete the programme and meet the agreed career support requirements, and we guarantee you'll receive a job offer within 6 months. If not, we'll refund 100% of your course fees. Full T&Cs available. Ready to Start Your New Career? Click 'Apply Now' to speak with an Advisor and take the first step towards a rewarding career in one of the UK's fastest-growing sectors.

Data Specialist Bristol - Hybrid Working About Ecosurety Ecosurety exists to rid the world of unnecessary packaging. We believe in a future where every brand has the data and market insights to make smart, sustainable packaging decisions. To make that vision a reality, we enable the world's leading brands to make smart and sustainable packaging decisions through our intelligence platform and deep regulatory expertise. We're at an exciting stage of growth, expanding our capabilities, investing in technology and developing new ways to support our customers in a rapidly changing regulatory landscape. With around 100 colleagues and ambitious plans for the future, we're building a business where talented people can do meaningful work, challenge convention and create real-world impact. The Opportunity Help some of the UK's biggest brands navigate one of the most significant environmental regulatory changes in a generation. We're looking for a Data Specialist to play a critical role in delivering high-quality packaging and compliance data services that help organisations meet increasingly complex environmental obligations. From Extended Producer Responsibility (EPR) and Plastic Packaging Tax requirements to emerging international regulations, our customers rely on accurate data and expert insight to make informed decisions and remain compliant. You'll work at the intersection of data, regulation and customer delivery, transforming complex datasets into meaningful outputs that directly support business decisions, compliance submissions and sustainability outcomes. This is a fantastic opportunity for somebody who enjoys solving problems, improving processes and working with data that genuinely makes a difference. Why Join Now? The packaging industry is undergoing unprecedented change. As regulations evolve and demand for better environmental data increases, organisations need trusted partners who can help them understand, manage and act on complex information. At Ecosurety, data sits at the heart of that challenge. You'll join a growing, purpose-led organisation where your work directly influences how major brands respond to sustainability challenges while helping shape the future of our own data services and capabilities. What You'll Be Doing Deliver Critical Compliance Data Collect, validate and process packaging and compliance-related data to support accurate and timely regulatory submissions for customers across the UK and internationally. Transform Complex Data Use tools such as Excel, Power BI, Alteryx and internal systems to clean, analyse and standardise data from multiple sources, ensuring consistency, quality and reliability. Support Industry-Leading Brands Work closely with customers and internal stakeholders to understand data requirements, solve challenges and ensure compliance obligations are met. Improve Processes and Methodologies Develop and enhance tools, templates and processes that improve efficiency, scalability and data quality across the business. Provide Insight and Recommendations Help translate complex datasets into clear findings, recommendations and actionable insights that support decision-making for both clients and internal teams. Collaborate Across Teams Partner with Client Services, Account Managers and subject matter experts to deliver excellent outcomes for customers while ensuring submissions meet regulatory requirements. Build Expertise Develop specialist knowledge in key compliance areas, becoming a trusted source of expertise that supports both colleagues and customers. Drive Continuous Improvement Identify opportunities to improve data quality, accuracy and reporting while contributing to the development of new services and data-led solutions. You'll Probably Be Successful If You - Enjoy working with complex datasets and solving challenging problems. - Have strong analytical skills and a naturally detail-oriented approach. - Take pride in producing accurate, high-quality work. - Can explain technical information clearly to different audiences. - Enjoy improving processes and finding more effective ways of working. - Balance independent working with strong collaboration across teams. - Are curious, proactive and comfortable learning new systems and technologies. - Care about the impact your work has on customers and the wider environment. We're Particularly Interested In People Who Have Experience With - Advanced Microsoft Excel, including data analysis, Power Query and automation. - Data visualisation and reporting using Power BI. - Data transformation and workflow tools such as Alteryx. - Managing, validating and analysing large and complex datasets. - Customer-facing or stakeholder-facing data environments. - Regulatory, compliance or highly structured data environments. - Packaging, sustainability or environmental reporting (desirable). We'd Love to See Evidence of How You've - Improved the quality, accuracy or reliability of data processes. - Used data to solve business problems or support decision-making. - Managed multiple priorities while maintaining excellent attention to detail. - Built relationships with stakeholders to deliver successful outcomes. - Automated or streamlined existing processes. - Presented findings or recommendations in a clear and engaging way. Why You'll Succeed Here You'll be joining a collaborative, values-driven organisation where expertise is trusted, ideas are welcomed and meaningful work is part of everyday life. We believe the best solutions come from bringing together different perspectives, challenging assumptions and staying focused on the outcomes that matter most. As Ecosurety continues to grow, you'll have the opportunity to influence how we use data, develop your expertise and help shape services that support a more sustainable future. Package & Benefits Salary: 30,000 - 34,000 per annum, depending on skills and experience. In addition to a competitive salary, you'll benefit from: - Up to 10% annual bonus - 7% employer pension contribution - 5x salary life insurance - Critical illness cover - Employee health cash plan - Paid sick leave - 28 days' annual leave plus bank holidays - Opportunity to buy additional holiday or take unpaid leave - Two weeks' workcation per year - Three paid volunteering days each year - 250 home working allowance - Wellbeing support - Access to training and professional development - Flexible working arrangements - Hybrid working, with colleagues expected to spend at least 50% of their time working together in person - Modern Bristol city centre office We focus on outcomes rather than hours or location, giving our people the flexibility and support they need to do their best work while making a positive impact. Equal Opportunities Ecosurety is committed to creating an inclusive workplace where everyone can thrive. We welcome applications from people of all backgrounds, experiences and perspectives. We believe diversity strengthens our teams, improves decision-making and helps us better serve our customers and communities. If you're excited about this opportunity but don't meet every requirement, we'd still encourage you to apply. We reserve the right to close this vacancy early should we receive a high volume of suitable applications. We therefore encourage interested candidates to apply as soon as possible

Emissions Data Scientist Bristol Hybrid 50,000 - 55,000 + Benefits The Company Our client is an innovative technology business developing advanced sensing and analytics solutions that are helping organisations better understand, monitor and reduce greenhouse gas emissions. Working at the forefront of environmental technology, they combine cutting-edge hardware, software and data science to deliver real-world insight that supports safer, more efficient and more sustainable industrial operations. Following continued investment and growth, they're now looking to appoint an Emissions Scientist to strengthen the scientific capability within their multidisciplinary engineering and R&D team. The Opportunity This is a genuinely unique opportunity for an experienced scientist to apply atmospheric and emissions expertise to technology making a measurable environmental impact. You'll analyse complex datasets captured from advanced sensing systems, developing scientifically robust methodologies that accurately detect, localise and quantify industrial emissions. Working closely with software engineers, data scientists and hardware specialists, you'll help shape the scientific foundations behind an industry-leading product while producing customer insight that directly influences operational and environmental decision making. What You'll Be Doing - Analyse environmental and operational datasets to detect, interpret and quantify emission sources. - Interpret results considering atmospheric conditions, meteorology, site operations and measurement uncertainty. - Produce high-quality technical reports, translating complex scientific findings into clear customer insight. - Develop and improve emissions quantification methodologies, validation processes and analytical models. - Design and evaluate controlled trials, validation studies and field experiments. - Assess uncertainty, detection limits and confidence levels to ensure scientifically defensible conclusions. - Collaborate with software engineers and data scientists to develop analytical tools and production-ready scientific methods. - Support the scientific design of monitoring campaigns and customer deployments. - Work alongside customers and technical stakeholders to understand operational challenges and measurement objectives. - Contribute towards scientific publications, technical papers and industry best practice. - Stay current with developments across atmospheric science, methane measurement and environmental monitoring. What We're Looking For - Degree in Atmospheric Science, Environmental Science, Physics, Chemistry, Engineering or another highly quantitative discipline. - Commercial experience within emissions measurement, atmospheric science, environmental monitoring or a similar scientific field. - Strong understanding of greenhouse gas measurement, atmospheric transport, dispersion modelling or environmental data analysis. - Excellent analytical skills with the ability to interpret complex real-world datasets. - Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). - Experience communicating technical findings to both technical and non-technical audiences. - Ability to work collaboratively across software, engineering and scientific teams. Desirable Experience - MSc or PhD in a relevant scientific discipline. - Experience within methane emissions, oil & gas, utilities, landfill, wastewater, biogas or similar industrial environments. - Knowledge of emissions reporting frameworks such as OGMP 2.0 or measurement-informed inventories. - Experience with GIS, spatial analysis or atmospheric modelling. - Exposure to lidar, spectroscopy, remote sensing or optical measurement technologies. - Understanding of scientific software development, version control and reproducible research practices. The Culture This is a business experiencing an exciting period of growth, backed by significant investment and driven by genuine innovation. They're looking for someone who enjoys working in a fast-paced environment where ideas are encouraged, collaboration is second nature and everyone is prepared to roll their sleeves up. You'll thrive here if you're proactive, naturally curious and excited by the opportunity to influence technology that is solving real-world environmental challenges. The Package - 50,000 - 55,000 depending on experience - Hybrid working (Bristol) - Modern, collaborative working environment - Opportunity to work with cutting-edge technology and world-class engineers and scientists - Excellent career development within a rapidly growing technology business - The chance to make a genuine impact on global sustainability and environmental innovation Please forward an up to date CV to find out more.

Are you ready to make a difference in the Energy sector? We are seeking a passionate and motivated Data Platforms Associate to join our dynamic Data Platforms Team! This is an exciting opportunity to be part of an organisation that powers the lives of nearly 8 million customers across the UK. Summary: - Start date: ASAP - Duration: 6 months with potential to be extended - Location: Bristol - Pay Rate: 20.00 per hour - Hours: 37 hours per week, Monday to Friday all onsite working About the Role As a Data Platforms Associate, you will play a crucial role in ensuring smooth operations within our internal IT Service. You'll be the first line of support for incoming IT requests, working closely with developers and internal teams to resolve issues and enhance service delivery. What You'll Do: In this role, you will: - Deliver exceptional 1st line technical support to your colleagues and escalate complex issues to senior team members as needed. - Manage incoming requests at the service desk, ensuring timely and effective responses. - Serve as the primary contact for all Data Platforms-related IT requests-your expertise will be invaluable! - Follow internal processes diligently and maintain accurate documentation. - Perform daily routine checks to guarantee all platforms are operational, escalating issues when necessary. - Raise Change Management requests, securing approvals and overseeing migrations and access requests. - Demonstrate self-sufficiency with outstanding time management skills. What You Bring: To stand out in this role, you should possess: - Strong problem-solving abilities and excellent communication skills. - A foundational understanding of Active Directory and basic networking concepts. - Familiarity with ITIL principles, especially 'Continual Service Improvement'. - Knowledge of Oracle Products, including Oracle Data Integration (ODI), Oracle Business Intelligence Enterprise Edition (OBIEE), and Hyperion. - Experience with Microsoft SQL Server. - Background in supporting Business Intelligence Applications such as PowerBI, WebFOCUS, and OBIEE. Why Join Us? At our organisation, you'll be part of a lively and collaborative environment where your contributions matter. We believe in fostering talent and offering opportunities for professional growth. Plus, you'll be working on projects that have a tangible impact on communities. Ready to Shine? If you're enthusiastic about technology and eager to make a positive impact, we'd love to hear from you! Apply today and take the first step towards an exciting career as a Data Platforms Associate. Seize the opportunity to be part of something meaningful in the Energy industry. We're excited to welcome a new member to our team who shares our passion for service excellence! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. If you do not hear back after 5 working days, please assume that you have unfortunately been unsuccessful on this occasion. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser (url removed)