1,389 Data Mining jobs in the United Kingdom

Our client, a forward-thinking leader in the mining sector, is seeking an exceptional Senior Data Scientist to drive innovation through advanced analytics. This fully remote role offers the opportunity to leverage vast datasets to optimize mining operations, improve safety, and enhance resource extraction efficiency. The successful candidate will work from anywhere in the UK, collaborating with global teams.

Key Responsibilities:

• Develop and implement sophisticated statistical models and machine learning algorithms to analyze complex mining data.
• Identify key performance indicators and predictive insights to optimize exploration, extraction, and processing operations.
• Collaborate with geologists, engineers, and operations managers to translate business challenges into data science solutions.
• Design and conduct A/B tests and other experiments to validate model performance and operational impacts.
• Clean, preprocess, and transform large, disparate datasets from various sources (e.g., sensors, geological surveys, operational logs).
• Develop data visualization dashboards and reports to communicate complex findings to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Ensure data integrity, security, and ethical use of data across all analytical projects.
• Propose and develop new analytical methodologies and tools to address emerging industry needs.
• Present findings and recommendations to senior management to inform strategic decision-making.

Qualifications and Skills:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a strong preference for experience in the mining, energy, or heavy industry sectors.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and database management.
• Proven ability to develop and deploy machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau, Power BI).
• Outstanding analytical, problem-solving, and critical thinking skills.
• Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts clearly.

This is a unique opportunity for a talented data scientist to make a significant impact on the future of mining, working remotely on cutting-edge projects.

Our client, a pioneering force in the global mining industry, is seeking a highly experienced and visionary Principal Data Scientist to join their fully remote analytics division. This is a unique opportunity to leverage advanced data science techniques to drive operational excellence, safety, and sustainability across our client's extensive mining operations worldwide. As a remote-first role, you will collaborate with global teams using cutting-edge collaboration tools and platforms.

You will be responsible for leading the development and deployment of sophisticated machine learning models and AI solutions to address complex challenges in areas such as predictive maintenance, ore grade prediction, geological modelling, exploration targeting, and operational efficiency optimization. This involves working with vast datasets from diverse sources, including sensor data, geological surveys, production reports, and satellite imagery. The Principal Data Scientist will mentor junior data scientists, drive research initiatives, and translate complex analytical findings into actionable strategies for operational stakeholders. A deep understanding of statistical modelling, big data technologies, and the specific challenges within the mining sector is crucial.

Key Responsibilities:

• Lead the design, development, and implementation of advanced machine learning and AI models for mining operations.
• Analyze large, complex datasets from geological, operational, and sensor sources to extract actionable insights.
• Develop predictive models for equipment failure, production forecasting, and ore body characterization.
• Optimize mining processes and resource allocation through data-driven insights.
• Mentor and guide a team of data scientists, fostering best practices in modeling and analysis.
• Collaborate with geologists, engineers, and operations managers to understand business needs and identify opportunities for data science application.
• Develop and maintain robust data pipelines and ensure data quality for analytical purposes.
• Present complex analytical findings and recommendations to executive leadership and operational teams.
• Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.
• Contribute to the strategic roadmap for data and analytics within the organization.

Qualifications:

• PhD or Master's degree in Data Science, Computer Science, Statistics, Geostatistics, Engineering, or a related quantitative field.
• Minimum of 8 years of experience as a Data Scientist, with a significant focus on applying advanced analytics and machine learning in industrial or operational environments.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Demonstrated understanding of mining operations, geology, or related industrial processes is highly desirable.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to lead complex projects and mentor junior team members in a remote setting.

If you are a forward-thinking data science leader ready to make a substantial impact on a global scale from the comfort of your home office, we encourage you to apply.

Our client is seeking a highly skilled and motivated Principal Mining Data Scientist to lead their advanced analytics initiatives within the mining sector. This is a pivotal, on-site role based in Derby, Derbyshire, UK , where you will be instrumental in leveraging cutting-edge data science techniques to optimise mining operations, enhance safety, and drive efficiency across the organisation. You will work with vast datasets generated from exploration, extraction, processing, and logistics, transforming raw data into actionable insights.

Key Responsibilities:

• Develop and implement sophisticated statistical models, machine learning algorithms, and data mining techniques to address complex challenges in resource estimation, operational efficiency, predictive maintenance, and safety monitoring within mining environments.
• Lead the design, development, and deployment of end-to-end data science solutions, from data acquisition and cleaning to model building, validation, and integration into operational systems.
• Mentor and guide a team of data analysts and junior data scientists, fostering a culture of innovation and technical excellence.
• Collaborate closely with geologists, mine engineers, metallurgists, and operations managers to understand business needs and translate them into data-driven solutions.
• Identify new opportunities for data analytics to improve key performance indicators, reduce costs, and increase resource recovery.
• Manage and curate large, diverse datasets, ensuring data quality, integrity, and accessibility.
• Develop and present compelling findings and recommendations to senior management and stakeholders, effectively communicating complex technical concepts to non-technical audiences.
• Oversee the architecture and maintenance of the data science platform and tools.
• Stay at the forefront of advancements in data science, machine learning, AI, and their applications in the mining industry.
• Contribute to the strategic direction of data analytics within the company.

Qualifications and Experience:

• PhD or Master's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Extensive experience (8+ years) in data science, with a proven track record of delivering impactful solutions in an industrial or resource-based sector, preferably mining.
• Expertise in programming languages such as Python or R, and proficiency with data manipulation libraries (e.g., Pandas, NumPy).
• Deep understanding of machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modelling.
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) for effective communication of results.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate across different levels of the organisation.
• Knowledge of mining processes, geology, or mineral processing is highly desirable.
• Experience with cloud platforms (AWS, Azure, GCP) for data science workloads is a plus.

This is an exceptional opportunity to make a significant impact on a global scale from our central location in Derby, Derbyshire, UK . If you are a visionary leader in data science with a passion for the mining industry, we encourage you to apply.

Derby County Football Club are established part of the English Football League. As one of the founding members of the Football League in 1884, Derby County Football Club is synonymous with English Football. Derby County Football Club are looking for a data-focused individual to lead the delivery of insight-led performance advantage to the 1st Team and Academy as they look to establish themselves once more in the EFL Championship. The Data and Analytics Lead possesses the imagination and critical thinking to lead the establishment of best-in-class data and analytics systems, processes and impact. As the Data Analytics Lead, you'll be responsible for: Leading on all elements of data and analysis strategy and resourcing, for the 1st Team and Academy. Effectively leading and line managing the Data and Analysis department. Ensure that standard operating procedures are in place to support the planning and review of all matches and competitions, across levels. Growing the department’s capability to deliver live in-game analysis and impact. Ensuring that player identification, recruitment, and assessment are objectively and critically informed. Ensuring that coaching, and both team and player programming, are objectively and critically informed. Ensuring the integration of data sources and associated data science capability to deliver practical insight. Leading the management of relationships across football-related data service providers, consultants and agreements, co-ordinating all processes and functions to ensure services are optimised and maintained to the highest standard at all times. Overseeing all 1st Team and Academy department studies and research projects, ensuring that collaborative relationships with external partners are maintained, and that impact is delivered. Establishing and overseeing the programme of learning for University Interns, in conjunction with partner organisations. We're looking for someone who has: Extensive experience and demonstrable achievements in the field of Sports Data and Analytics Experience of impactful departmental leadership Demonstrable experience of working and integrating software such as, but not limited to, Piero/Hudl/Wyscout/Sportscode/Studio/Piston/Catapult/StatSport/StatsBomb, or similar services from sporting disciplines. Advanced coding and visualisation ability such as R/Python/Power BI The Executives in Sport Group are retained on behalf of Derby County Football Club to appoint a Data Analytics Lead. All direct applications and CVs will be forwarded to The Executives in Sport Group. If this role is of interest, then please press the apply button and include a copy of your CV. We ask that applicants complete our diversity monitoring form. You are not obliged to answer any of these questions but the more information you supply, the more effective our monitoring will be. (Please copy and paste into your browser) All information supplied is anonymous and will not be viewed by recruiting managers.

Edgewell is not just a company, but a vibrant global community of **6,800 visionaries, doers, and makers** . Our family of over **25 personal care brands** serves people in more than **50 countries** . We are dedicated to infusing joyfulness into every aspect of our work. Our pledge goes beyond our products, with our fundamental value of **People First** guiding us to foster a diverse, inclusive, and respectful environment where every team member can flourish and celebrate our shared achievements.
**Data & Analytics Manager - Europe**
Central London, UK
Hybrid Working
Attractive salary & benefits
**Let's Talk About You**
You're ambitious, but you want a career with purpose-we love that. You're up for a challenge and ready to write the next chapter of your career story with a great group of encouraging colleagues. You want to make your mark and let your personality shine. Well, if you're interested in our Data & Analytics Manager role, this might be your next step! We are looking for an experienced professional to join Edgewell Personal Care - a global consumer goods business with a portfolio of over 25 brands (Wilkinson Sword, Schick, Hawaiian Tropic, Carefree, Bulldog Skincare for Men, Jack Black and recently acquired Cremo Grooming. just to name a few!).
**Now, Let's Get Down to Business**
Edgewell Europe is seeking a Data & Analytics Manager to support its strategic growth by delivering advanced analytical solutions that drive commercial success. Reporting to the Head of Data & Analytics, this role will empower key stakeholders with actionable insights, enhance decision-making through robust models, and foster a data-driven culture across European operations.
If there's one thing, you'll get here at Edgewell, it's a collaborative group full of likeable, diverse and nurturing colleagues. They're an inspiring bunch.
Here's a sample of what you'll get up to:
+ Develop and refine analytical tools and models to extract actionable insights from complex data, driving informed decision and change.
+ Empower the European commercial community by creating self-service solutions that facilitate better and quicker decision-making.
+ Lead the creation of performance metrics that offer deep insights into business performance and support course correction.
+ Influence key leaders to embed data-driven decision-making into the organisational culture.
+ Oversee enhancements, optimising performance and investments in promo, pricing, terms, product mix, NPD, media, and digital.
+ Advocate for efficient work processes and simplification to maximise productivity and data utilisation.
+ Collaborate with the global BI-IT team to enhance and scale the architecture as part of the European D&A strategy.
+ Drive initiatives to improve data literacy across the European commercial business.
+ Ensure high adoption of created tools by offering customised in-house demos and training sessions.
**Are You Ready to Show Us What You've Got?**
The ideal candidate will bring strong expertise in tools like Power BI, SQL, and Power Platform, along with a solid understanding of FMCG commercial processes and data science methods. Experience across European markets and fluency in English are essential, with additional languages considered a plus. We're looking for someone with experience ideally gained within an FMCG or Personal Care business.
While your experience is of course important, we're all about making useful things joyful, so we love when our prospective candidates are passionate about this too.
Here's what we are looking for:
+ Proven experience in Data & Analytics, ideally within Consumer Goods or Retail.
+ Demonstrated agile and collaborative approach, with the ability to efficiently manage projects, implement change, and foster continuous learning.
+ Strong communicator with the ability to influence stakeholders effectively.
+ Solid grasp of commercial processes and financials (e.g. P&L) in FMCG environments.
+ Excellent analytical skills with a track record of turning insights into action.
+ Proficient in Power BI, SQL, Power Platform, Power Query, Power Pivot, DAX and no-code ETL tools.
+ Familiar with data lakes (e.g. Snowflake), and ERP systems (e.g. SAP).
+ Strong understanding of data science methods (e.g. regression, ML, AI) applied in FMCG.
+ Experienced with syndicated (e.g. Nielsen, Circana), panel (e.g. Homescan), EPOS, and e-commerce data (e.g. Flywheel).
+ Experience with TPM/TPO systems for trade and promotional management an advantage.
+ Commercially minded, innovative, and results driven.
+ Experience working across European markets is a plus.
+ Fluent in English; additional European languages are an advantage.
**Job Tools**
Power BI, SQL, Power Platform, Power Query, Power Pivot, DAX, Snowflake and no-code ETL tools
Microsoft Teams, Excel, PowerPoint, Word, Outlook and additional MS Software
**What we offer**
Competitive salary, Hybrid working possible (2 days per week in Central London office), employee assistance programme, life assurance, discounted Edgewell branded products, core working hours, 25 days annual leave, free beverage & snacks, sports & social club membership, casual smart dress code and a great team!
**Now Take the Next Step**
If you're looking forward to progressing your career with us, then we're looking forward to hearing from you. Please email an up-to-date CV in English along with your salary expectations. Alternatively, feel free to pass onto your teammates who may be interested. For information about this great company, visit is an equal opportunity employer. We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead. We prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any legally protected status in accordance with applicable federal, state and local laws. We listen deeply and speak directly to create an environment that's open to difference. We aim to bring joy to not only the products we create and the people we serve, but our colleagues across the globe too.

Derby County Football Club are established part of the English Football League. As one of the founding members of the Football League in 1884, Derby County Football Club is synonymous with English Football.

Derby County Football Club are looking for a data-focused individual to lead the delivery of insight-led performance advantage to the 1st Team and Academy as they look to establish themselves once more in the EFL Championship. The Data and Analytics Lead possesses the imagination and critical thinking to lead the establishment of best-in-class data and analytics systems, processes and impact.

As the Data Analytics Lead, you'll be responsible for:

• Leading on all elements of data and analysis strategy and resourcing, for the 1st Team and Academy.
• Effectively leading and line managing the Data and Analysis department.
• Ensure that standard operating procedures are in place to support the planning and review of all matches and competitions, across levels.
• Growing the department’s capability to deliver live in-game analysis and impact.
• Ensuring that player identification, recruitment, and assessment are objectively and critically informed.
• Ensuring that coaching, and both team and player programming, are objectively and critically informed.
• Ensuring the integration of data sources and associated data science capability to deliver practical insight.
• Leading the management of relationships across football-related data service providers, consultants and agreements, co-ordinating all processes and functions to ensure services are optimised and maintained to the highest standard at all times.
• Overseeing all 1st Team and Academy department studies and research projects, ensuring that collaborative relationships with external partners are maintained, and that impact is delivered.
• Establishing and overseeing the programme of learning for University Interns, in conjunction with partner organisations.

We're looking for someone who has:

• Extensive experience and demonstrable achievements in the field of Sports Data and Analytics
• Experience of impactful departmental leadership
• Demonstrable experience of working and integrating software such as, but not limited to, Piero/Hudl/Wyscout/Sportscode/Studio/Piston/Catapult/StatSport/StatsBomb, or similar services from sporting disciplines.
• Advanced coding and visualisation ability such as R/Python/Power BI

The Executives in Sport Group are retained on behalf of Derby County Football Club to appoint a Data Analytics Lead. All direct applications and CVs will be forwarded to The Executives in Sport Group.

If this role is of interest, then please press the apply button and include a copy of your CV.

We ask that applicants complete our diversity monitoring form. You are not obliged to answer any of these questions but the more information you supply, the more effective our monitoring will be.

(Please copy and paste into your browser)

All information supplied is anonymous and will not be viewed by recruiting managers.

Our client, a forward-thinking organisation committed to leveraging data for strategic decision-making, is actively recruiting talented and enthusiastic Graduate Data Scientists. This entry-level position, located in the heart of Newcastle upon Tyne, Tyne and Wear, UK , offers an unparalleled opportunity for recent graduates to launch their careers in data science. You will work alongside experienced professionals, contributing to cutting-edge projects that involve analysing complex datasets, developing predictive models, and extracting valuable insights to drive business growth. This role is a fantastic stepping stone into the world of advanced analytics and machine learning.

Key Responsibilities:

• Assist in the collection, cleaning, and pre-processing of large, complex datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Contribute to the development and implementation of machine learning models for prediction, classification, and clustering.
• Collaborate with senior data scientists and business analysts to understand project requirements and deliver actionable insights.
• Develop and maintain data visualisations and reports to communicate findings effectively to both technical and non-technical audiences.
• Support the evaluation and validation of model performance, identifying areas for improvement.
• Stay abreast of the latest developments in data science, machine learning, and artificial intelligence.
• Participate in team meetings, knowledge-sharing sessions, and contribute to a culture of continuous learning.
• Assist in the deployment and monitoring of data science models in production environments.
• Adhere to data privacy and security best practices in all aspects of work.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a closely related quantitative field.
• Strong foundational understanding of statistical concepts and data mining techniques.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL for database querying is essential.
• Excellent analytical and problem-solving skills, with a keen eye for detail.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
• A proactive attitude and a passion for learning and self-development in the field of data science.
• Ability to work effectively both independently and as part of a collaborative team.
• Previous internship or project experience in data analysis or machine learning is a significant advantage.

This is a demanding yet rewarding role for ambitious graduates looking to build a strong foundation in data science within a supportive team environment in Newcastle upon Tyne .

Our OEM Client based in Gaydon, is searching for a Senior Data Analytics Specialist to join their team, Inside IR35. This is a contract position until 31st March 2026.

Umbrella Pay Rate: £33.64 per hour.

Duties:

This role (Data Analytics - Software and Systems Testing) is focused on ensuring the integrity, consistency, and usability of software and systems testing data across all domains created in JIRA and generally visualised in Tableau.

This role bridges the gap between Engineering, Testing, and Development teams by analysing the complex datasets, resolving tooling issues, and preparing high-quality data for decision-making and reporting. Identify patterns, anomalies, and insights to support engineering and quality teams.

Skills Required:

• Ability to support project planning with data-driven insights.
• Ability to create transparent weekly Top-Management Reporting.
• Ability to interact with Key Engineering Stakeholders to ensure metrics are aligned and correct.
• Ability to interpret the data to determine the key messages that should be shared.
• Ability to ensure data integrity is maintained, by monitoring tickets for common errors.
• Ability to coaching other uses of the tooling on data consistency and cleanliness.

 Education Required:

• Degree educated or equivalent experience.

Our OEM Client based in Gaydon, is searching for a Senior Data Analytics Specialist to join their team, Inside IR35. This is a contract position until 31st March 2026.

Umbrella Pay Rate: £33.64 per hour.

Duties:

This role (Data Analytics - Software and Systems Testing) is focused on ensuring the integrity, consistency, and usability of software and systems testing data across all domains created in JIRA and generally visualised in Tableau.

This role bridges the gap between Engineering, Testing, and Development teams by analysing the complex datasets, resolving tooling issues, and preparing high-quality data for decision-making and reporting. Identify patterns, anomalies, and insights to support engineering and quality teams.

Skills Required:

• Ability to support project planning with data-driven insights.
• Ability to create transparent weekly Top-Management Reporting.
• Ability to interact with Key Engineering Stakeholders to ensure metrics are aligned and correct.
• Ability to interpret the data to determine the key messages that should be shared.
• Ability to ensure data integrity is maintained, by monitoring tickets for common errors.
• Ability to coaching other uses of the tooling on data consistency and cleanliness.

 Education Required:

• Degree educated or equivalent experience.