23 Data Analytics jobs in Bristol

• Lead the development and deployment of data science models and machine learning algorithms.
• Analyse large, complex datasets from mining operations to identify trends and insights.
• Build predictive models for resource estimation, operational efficiency, and equipment maintenance.
• Collaborate with domain experts to define analytical requirements and deliver solutions.
• Design and implement data pipelines and analytical frameworks.
• Mentor and guide junior data scientists and analysts.
• Communicate findings and recommendations to stakeholders at all levels.
• Drive the adoption of data-driven decision-making across the organisation.
• Stay current with advancements in data science, machine learning, and AI.

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data science or machine learning, with a proven track record of delivering impactful solutions.
• Expertise in programming languages such as Python or R, and libraries like Scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Strong understanding of statistical modelling, predictive analytics, and machine learning techniques.
• Experience in the mining or natural resources sector is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Superior communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Demonstrated ability to lead projects and mentor team members in a remote environment.

• Lead the design, development, and deployment of advanced statistical and machine learning models for insurance analytics, including risk assessment, fraud detection, customer segmentation, and lifetime value prediction.
• Translate complex business problems into data science solutions, defining project scope, methodology, and deliverables.
• Develop and implement predictive models for pricing, underwriting, and claims management.
• Analyze large, complex datasets to uncover trends, identify opportunities, and provide data-driven recommendations to business stakeholders.
• Build and maintain robust data pipelines and infrastructure for model training and deployment.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative research environment.
• Communicate complex analytical findings and insights clearly and effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the insurance industry.
• Collaborate with IT, actuarial, and business teams to ensure seamless integration of data science solutions into existing systems and processes.
• Oversee the validation, testing, and ongoing monitoring of deployed models to ensure accuracy and performance.
• Contribute to the strategic direction of data analytics within the organization.

• Master's or PhD in Statistics, Data Science, Mathematics, Computer Science, Actuarial Science, or a related quantitative field.
• Minimum of 7 years of experience in data science or advanced analytics, with a significant focus on the insurance industry.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Experience with SQL and working with large datasets in relational databases or data warehouses.
• Strong understanding of insurance products, business processes, and regulatory environment.
• Demonstrated experience in leading data science projects and mentoring junior team members.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superior communication, presentation, and interpersonal skills.
• Ability to work independently and manage multiple projects effectively in a remote setting.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.

• 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.

We’re Civica, and we create software that helps deliver critical services for citizens all around the world. 
From local government, to education, health, and care, over 5,000 public bodies across the globe use our software to provide essential services to over 100 million citizens. 

Our aspiration is to be a GovTech champion everywhere we work, supporting the needs of citizens and those who serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point in our journey to realise that aspiration. 

Why you will love this opportunity as Senior Data Analyst in our People Analytics Team at Civica  

We are looking for a People Analytics – Senior Data Analyst to join our global People Systems & Data team. This is a small but high-impact team with significant opportunity to shape how we use data across the business. You will play a pivotal role in building out the data infrastructure, improving pipelines, and setting the foundation for scalable, reliable people data.

As part of this role, you’ll work on developing our data pipeline architecture, connecting disparate HR systems, and establishing unified data standards across the organisation. As a People Analytics - Senior Analyst, you’ll design, develop, and optimise data solutions that empower decision-making across Civica.

Collaboration is at the heart of this role - you’ll partner with HR COE teams, IT, Finance, and business stakeholders to ensure data is accurate, consistent, and trusted. Improving and embedding governance and compliance in everything we deliver, while helping the organisation make smarter, data-driven decisions and building momentum for a more connected and reliable data landscape.

This role offers substantial scope for growth: you’ll not only shape the way we manage and use people data today but also play a key part in defining the future of People Analytics at Civica.

What you will do to be successful in this role as Senior Data Analyst

Key Responsibilities:

• Partner with HRBPs and other internal COE’s, IT, and business stakeholders to understand reporting needs and translate them into scalable solutions.
• Support the development of the People Data strategy, helping to define standards, processes, and best practices.
• Drive improvements in data accuracy, governance, and standardization, ensuring consistency and reliability across functions.
• Lead the development of Power BI solutions – from robust data modelling to creating intuitive, insightful dashboards.
• Connect to and integrate multiple data sources for reporting.
• Gather and translate business requirements into robust data solutions.
• Utilize existing technology to automate and provide real-time data and analytics where possible.
• Develop user procedures, guidelines, and documentation and provide end-user training and support.
• Design and deliver automated, self-service reporting solutions that reduce manual work and provide timely, actionable insights for HR and business leaders.
• Be a catalyst for change – building momentum in how data is valued, used, and trusted within the organisation.
• Maintain clear documentation for datasets, models, and transformation processes.

Requirements

• Strong analytical skills with the ability to interpret complex data sets.
• Strong communication and stakeholder management skills.
• Proactive and solution-focused approach to problem-solving.
• Proven data modelling skills across multiple business contexts.
• Strong skills for data extraction, transformation, and validation.
• Proficiency in Excel for advanced data analysis and manipulation.

• Experience developing automated reporting solutions and self-service analytics tools
• Strong hands-on experience with Power BI (ETL in power query, data modelling, DAX, and dashboard design).
• Understanding of data governance, security, and compliance practices.
• Ability to work with incomplete or messy data and implement data cleansing strategies
• Strong analytical and problem-solving skills, with the ability to work with technical and non-technical stakeholders.
• A collaborative mindset and a passion for using data to drive better people and business outcomes.
• Familiarity with SQL or other scripting languages (like Python) for data transformation and automations
• Microsoft power platform
• Experience working with APIs to extract and integrate data from HR and business systems.
• Experience with HR/People data and an understanding of typical HCM systems and processes.

We Want You to Bring Your Whole Self to Work 
 
There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit.  

Why You'll Love Working with Us 
 
As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities.  
 
We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: 

Benefits

Time Off & Work-Life Balance  

25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! 
Days of Difference – Up to 3 extra days off for volunteering. 
 

Financial Well-being & Security 

Pension Contributions – 5% employer match to support your future. 
Income Protection – Up to 75% salary cover for long-term illness. 
Life Assurance – 4x salary tax-free lump sum. 
Critical Illness Cover – £25,000 lump sum (extendable to dependents). 

Health & Perks 

Private Medical Insurance – Fast access to private healthcare. 
Health Cash Plan – Claim back physio, therapies & more. 
Dental Insurance – Cover for routine & emergency care. 
Affinity Groups – Join employee-led communities. 
Bounty Bonus – Refer a friend & get rewarded. 

At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. 

We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. 

If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you. 

• Leading the design, development, and implementation of predictive models for resource estimation and operational forecasting.
• Developing and deploying machine learning solutions for anomaly detection, equipment failure prediction, and process optimization in mining environments.
• Managing and analyzing large, complex datasets from various sources, including sensor data, geological surveys, and production logs.
• Collaborating with domain experts to define key performance indicators and identify data-driven opportunities.
• Mentoring and guiding junior data scientists and analysts.
• Communicating complex findings and recommendations to technical and non-technical audiences.
• Staying abreast of the latest advancements in data science and machine learning relevant to the mining industry.
• Ensuring data quality, integrity, and security.

• MSc or PhD in Data Science, Computer Science, Statistics, Geosciences, or a related quantitative field.
• 7+ years of progressive experience in data science, with a significant portion focused on industrial applications.
• Proven experience in leading data science projects and teams.
• Expertise in Python or R, SQL, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data platforms (e.g., Spark, Hadoop) and cloud computing environments.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent problem-solving abilities and a keen eye for detail.
• Exceptional communication and presentation skills, capable of influencing senior leadership.

Business Intelligence Developer  
James Andrews Technology | Portishead (Agile Working) 
£45,000 per annum | 6-month FTC 

Our client, a leading housing provider, is seeking a Business Intelligence Analyst/Developer to join their Data & Insight team, delivering a project-focused deployment of reporting across core business applications. 

The Opportunity  
You’ll work with the Head of Data and Insight and project teams across Assets and Home Repairs , designing and developing reporting that’s accurate, timely, and insightful. This is a hands-on BI development role with a real focus on stakeholder engagement and delivering impact for housing services. 

Key Responsibilities  

• Develop and maintain transparent, standardised reporting solutions aligned to business needs 

• Design interactive dashboards in Power BI (or similar BI tools) 

• Work with stakeholders to translate data into actionable insight for Exec, Board, and managers 

• Collaborate with Data Management to resolve quality issues and ensure robust reporting 

• Support colleagues with training, advice, and best practice in BI reporting 

• Drive adoption of BI principles and contribute to Alliance’s BI maturity model 

Essential Requirements  

• 2/3+ years’ experience with Power BI/Tableau/Qlik  

• Strong MS SQL skills 

• Experience in Agile development environments  

• Knowledge of BI principles and reporting best practice 

• Excellent communication skills, with the ability to engage technical and non-technical users 

• Personable, values-driven, and able to build strong relationships 

Desirable  

• Experience within housing associations or asset management services 

• Exposure to commercial insight functions (qualitative and quantitative analysis) 

James Andrews is acting as an employment agency and business in relation to this role.

At James Andrews Recruitment Solutions we try to respond to all applications personally, however, due to the high volume of applications this is not always possible. If you have not heard back from us within 72 hours, please assume that your application has been unsuccessful on this occasion.

Don't forget our recommendation scheme: Recommend a friend or colleague to us and receive up to £100 each once they have completed 20 days in a role via James Andrews! Terms and conditions apply, contact us for details.

Business Intelligence Developer  
James Andrews Technology | Portishead (Agile Working) 
£45,000 per annum | 6-month FTC 

Our client, a leading housing provider, is seeking a Business Intelligence Analyst/Developer to join their Data & Insight team, delivering a project-focused deployment of reporting across core business applications. 

The Opportunity  
You’ll work with the Head of Data and Insight and project teams across Assets and Home Repairs , designing and developing reporting that’s accurate, timely, and insightful. This is a hands-on BI development role with a real focus on stakeholder engagement and delivering impact for housing services. 

Key Responsibilities  

• Develop and maintain transparent, standardised reporting solutions aligned to business needs 

• Design interactive dashboards in Power BI (or similar BI tools) 

• Work with stakeholders to translate data into actionable insight for Exec, Board, and managers 

• Collaborate with Data Management to resolve quality issues and ensure robust reporting 

• Support colleagues with training, advice, and best practice in BI reporting 

• Drive adoption of BI principles and contribute to Alliance’s BI maturity model 

Essential Requirements  

• 2/3+ years’ experience with Power BI/Tableau/Qlik  

• Strong MS SQL skills 

• Experience in Agile development environments  

• Knowledge of BI principles and reporting best practice 

• Excellent communication skills, with the ability to engage technical and non-technical users 

• Personable, values-driven, and able to build strong relationships 

Desirable  

• Experience within housing associations or asset management services 

• Exposure to commercial insight functions (qualitative and quantitative analysis) 

James Andrews is acting as an employment agency and business in relation to this role.

At James Andrews Recruitment Solutions we try to respond to all applications personally, however, due to the high volume of applications this is not always possible. If you have not heard back from us within 72 hours, please assume that your application has been unsuccessful on this occasion.

Don't forget our recommendation scheme: Recommend a friend or colleague to us and receive up to £100 each once they have completed 20 days in a role via James Andrews! Terms and conditions apply, contact us for details.