903 Predictive Analytics jobs in the United Kingdom

Junior Data Scientist - Predictive Analytics

CF10 1DA Cardiff, Wales £35000 Annually WhatJobs

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Job Description

full-time
Our client, a forward-thinking organisation dedicated to innovation and growth, is actively seeking a motivated and enthusiastic Junior Data Scientist to join their expanding analytics team. This is an exciting opportunity for a recent graduate or early-career professional to develop their skills in a supportive environment in Cardiff, Wales, UK . You will work alongside experienced data scientists, contributing to projects that drive business insights and strategic decision-making.

The role focuses on applying statistical modelling and machine learning techniques to analyse large datasets, identify trends, and build predictive models. Your responsibilities will include:
  • Assisting in the collection, cleaning, and pre-processing of data from various sources.
  • Developing and implementing statistical models and machine learning algorithms for predictive analytics.
  • Conducting exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
  • Visualizing data and model results to communicate findings effectively to technical and non-technical audiences.
  • Collaborating with senior data scientists and business stakeholders to understand project requirements and deliver actionable insights.
  • Supporting the deployment and monitoring of machine learning models in production.
  • Staying current with the latest advancements in data science, machine learning, and statistical techniques.
  • Participating in code reviews and contributing to the development of best practices within the data science team.
  • Documenting methodologies, findings, and processes clearly and concisely.
  • Troubleshooting and resolving issues related to data processing and model performance.
Qualifications:
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Solid understanding of statistical concepts and machine learning algorithms.
  • Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Familiarity with SQL for data extraction and manipulation.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • A passion for data and a strong desire to learn and grow in the field of data science.
  • Previous internship or project experience in data analysis or machine learning is a plus.
This is a fantastic entry-level position for a bright and ambitious individual looking to launch a career in data science within a dynamic company in Cardiff .
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Senior Data Scientist - Predictive Analytics

DH1 1AA Sunderland, North East £75000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a leading management consultancy firm with a strong focus on data-driven insights, is seeking a Senior Data Scientist specializing in Predictive Analytics to join their fully remote team. You will be at the forefront of leveraging advanced statistical modeling, machine learning, and data mining techniques to solve complex business problems for a diverse range of clients. This role is critical in uncovering hidden patterns, forecasting future trends, and providing actionable recommendations to drive strategic decisions. This is a remote-first position, demanding a high level of autonomy and technical expertise.

Responsibilities:
  • Design, develop, and deploy predictive models and machine learning algorithms to address client challenges in areas such as customer behavior, risk assessment, and operational efficiency.
  • Clean, process, and transform large, complex datasets from various sources to prepare them for analysis.
  • Perform exploratory data analysis to identify key trends, patterns, and anomalies.
  • Validate and test model performance, ensuring accuracy, reliability, and scalability.
  • Communicate complex analytical findings and insights clearly and concisely to both technical and non-technical stakeholders through reports and presentations.
  • Collaborate with data engineers, business analysts, and domain experts to integrate models into production systems and drive business value.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
  • Mentor junior data scientists and contribute to the development of best practices within the data science team.
  • Contribute to business development by identifying new opportunities for data science applications and assisting in proposal development.
  • Ensure all data handling and modeling adheres to ethical guidelines and data privacy regulations.
Qualifications:
  • Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
  • Minimum of 6 years of experience in data science, with a strong emphasis on predictive modeling and machine learning.
  • 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 cloud environments (AWS, Azure, GCP).
  • Strong understanding of statistical concepts, machine learning algorithms, and data mining techniques.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Proven ability to translate business requirements into analytical solutions.
  • Outstanding communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Demonstrated ability to work independently and manage multiple projects in a remote setting.
This is a premier opportunity for an experienced data scientist to lead impactful projects and contribute to the strategic success of clients, all while enjoying the flexibility of remote work.
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Junior Data Scientist - Predictive Analytics

S2 4AX Sheffield, Yorkshire and the Humber £35000 Annually WhatJobs

Posted 4 days ago

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full-time
Our client, a rapidly expanding analytics firm, is looking for an enthusiastic and bright Junior Data Scientist to join their growing team. This role offers a fantastic opportunity for an ambitious individual to develop their skills in predictive modelling and data-driven decision-making. While the position is based in Sheffield, South Yorkshire, UK , a hybrid working model is offered, blending remote flexibility with essential in-office collaboration. You will work closely with senior data scientists and business analysts to extract valuable insights from complex datasets, build robust models, and contribute to innovative solutions that drive business growth.

Responsibilities:
  • Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
  • Develop, train, and evaluate statistical models and machine learning algorithms for predictive analytics.
  • Collaborate with team members to identify business challenges that can be addressed through data science techniques.
  • Visualize and communicate data findings and model results to both technical and non-technical audiences.
  • Support the implementation of data models into production environments.
  • Conduct exploratory data analysis to uncover trends, patterns, and anomalies.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
  • Contribute to the development of data-driven strategies and recommendations.
  • Participate in code reviews and knowledge-sharing sessions.
  • Ensure data integrity and accuracy throughout all analytical processes.

Qualifications:
  • A recent Master's or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Foundational knowledge of statistical modelling, machine learning techniques, and data mining.
  • Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Experience with SQL for data extraction and manipulation.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work effectively both independently and as part of a team.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • An eagerness to learn and adapt in a fast-paced environment.
  • Previous internship or project experience in data science is highly beneficial.
This role provides an excellent stepping stone for a career in data science, offering hands-on experience with real-world data and advanced analytical techniques in Sheffield.
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Junior Data Analyst - Predictive Analytics

B3 2DY Birmingham, West Midlands £25000 Annually WhatJobs

Posted 5 days ago

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Job Description

intern
Our client is looking for an ambitious and data-driven Junior Data Analyst to join their innovative team. This is an exceptional remote internship opportunity, perfect for recent graduates eager to launch their career in data science and predictive analytics. You will work alongside experienced analysts and data scientists, gaining hands-on experience in data manipulation, analysis, and visualization. The role is designed to provide comprehensive training and exposure to real-world business challenges, enabling you to develop critical skills in a supportive, virtual environment. While the role is fully remote, it offers a fantastic entry point into a professional career in the heart of the UK's data industry, with the team often originating from Birmingham, West Midlands, UK .

Responsibilities:
  • Assist in collecting, cleaning, and preparing large datasets from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and insights.
  • Support the development and testing of predictive models under the guidance of senior analysts.
  • Create clear and concise data visualizations and reports to communicate findings.
  • Collaborate with team members on data-related projects and tasks.
  • Learn and apply statistical techniques and machine learning algorithms.
  • Assist in documenting data processes and analytical methodologies.
  • Contribute to data quality assurance and validation efforts.
  • Participate in team meetings and training sessions to enhance analytical skills.
  • Gain exposure to SQL, Python, R, and data visualization tools.
Qualifications:
  • Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Strong understanding of statistical concepts and data analysis principles.
  • Familiarity with programming languages such as Python or R is a plus.
  • Proficiency in Microsoft Excel for data manipulation and analysis.
  • Excellent analytical and problem-solving abilities.
  • Strong attention to detail and commitment to data accuracy.
  • Effective communication skills, both written and verbal.
  • Ability to work independently and manage time effectively in a remote setting.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • A proactive and enthusiastic attitude towards contributing to team goals.
This internship is a perfect stepping stone for individuals looking to build a robust foundation in data analytics and contribute meaningfully from a remote location, supporting key initiatives for our client.
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Senior Data Scientist - Predictive Analytics (Remote)

NR1 3DH Norwich, Eastern £75000 Annually WhatJobs

Posted 3 days ago

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full-time
Our client is looking for an accomplished Senior Data Scientist to lead advanced analytics initiatives, focusing on predictive modeling and machine learning. This fully remote position offers the chance to work on cutting-edge data problems, influencing strategic decisions through actionable insights derived from complex datasets. You will be responsible for the end-to-end lifecycle of predictive models, from data acquisition and feature engineering to model development, validation, and deployment. The ideal candidate is a seasoned professional with a strong statistical foundation, expertise in machine learning algorithms, and a proven ability to communicate complex findings to diverse audiences.

Responsibilities:
  • Design, develop, and implement sophisticated predictive models using machine learning and statistical techniques.
  • Identify and acquire relevant data sources from internal and external systems.
  • Perform thorough data cleaning, preprocessing, and feature engineering to prepare data for modeling.
  • Evaluate and select appropriate algorithms and model architectures based on business requirements and data characteristics.
  • Validate model performance using rigorous statistical methods and A/B testing.
  • Deploy models into production environments, working closely with engineering teams.
  • Continuously monitor model performance and retrain or update models as needed.
  • Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
  • Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
  • Stay up-to-date with the latest research and advancements in data science, machine learning, and artificial intelligence.
  • Mentor junior data scientists and contribute to the team's overall technical growth.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
  • 5+ years of experience in data science, with a strong emphasis on building and deploying predictive models in a production environment.
  • Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling techniques.
  • Proficiency in Python or R, including relevant data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Experience with SQL and working with large, complex datasets.
  • Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving, critical thinking, and analytical skills.
  • Strong communication and storytelling abilities, with the capacity to explain technical concepts to non-experts.
  • Ability to work independently and manage projects effectively in a remote setting.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
This fully remote role, with administrative ties to **Norwich, Norfolk, UK**, is ideal for a passionate data scientist seeking to drive significant business impact through predictive analytics.
This advertiser has chosen not to accept applicants from your region.

Senior Insurance Data Scientist - Predictive Analytics

CV1 2DT Coventry, West Midlands £70000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client is seeking a highly skilled Senior Insurance Data Scientist to join their innovative team, operating entirely remotely. This role is pivotal in leveraging advanced analytics and machine learning techniques to drive business insights, optimize pricing, and enhance customer experience within the insurance sector. You will be responsible for developing and deploying predictive models that address key challenges in underwriting, claims, and fraud detection. This is a remote-first position, offering significant autonomy and flexibility.

Key Responsibilities:
  • Design, develop, and implement sophisticated predictive models for insurance applications (e.g., risk assessment, customer lifetime value, churn prediction, fraud detection).
  • Collaborate with actuaries, underwriters, and claims professionals to identify key business problems and opportunities for data science solutions.
  • Extract, clean, and transform large, complex datasets from various insurance systems.
  • Utilize machine learning algorithms and statistical techniques to derive actionable insights.
  • Validate model performance, monitor their effectiveness over time, and iterate as necessary.
  • Present findings and recommendations to stakeholders at all levels of the organization.
  • Mentor junior data scientists and contribute to the team's technical growth.
  • Stay current with the latest advancements in data science, machine learning, and insurance analytics.
  • Ensure ethical and compliant use of data in all modeling activities.
  • Develop and maintain documentation for data science models and processes.

Qualifications:
  • Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience as a Data Scientist, with a significant focus on the insurance industry.
  • Proven experience in building and deploying predictive models using Python or R.
  • Strong knowledge of machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling techniques.
  • Experience with SQL and working with large datasets.
  • Familiarity with insurance data sources, concepts (e.g., policy data, claims data, telematics), and regulatory requirements.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Demonstrated ability to work effectively in a fully remote team environment.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This is a fantastic opportunity for an experienced data scientist based in the UK to join a forward-thinking insurance company, working remotely from Coventry, West Midlands, UK . Become a key player in shaping data-driven strategies in a flexible work setting.
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Remote Lead Data Scientist - Predictive Analytics

LS1 1UR Leeds, Yorkshire and the Humber £90000 Annually WhatJobs

Posted 6 days ago

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full-time
Our client, a forward-thinking analytics firm, is looking for a highly skilled and experienced Lead Data Scientist to join their cutting-edge team in a fully remote capacity. This pivotal role will lead the development and implementation of advanced predictive analytics models to drive business insights and strategic decision-making across a range of high-impact projects. You will mentor a team of data scientists, champion best practices in machine learning and statistical modelling, and collaborate closely with stakeholders to translate complex data into actionable strategies. This is an exceptional opportunity for a seasoned data science leader who thrives in a remote environment and possesses a deep understanding of statistical modelling, machine learning, and big data technologies.

Key Responsibilities:
  • Lead the design, development, and deployment of sophisticated predictive models using machine learning and statistical techniques.
  • Mentor and guide a team of data scientists, fostering a collaborative and high-performance culture.
  • Collaborate with business stakeholders to understand their needs and translate them into data science problems.
  • Identify and evaluate new data sources and analytical methodologies.
  • Perform in-depth data analysis, feature engineering, and model validation.
  • Communicate complex findings and recommendations clearly and effectively to technical and non-technical audiences.
  • Stay abreast of the latest advancements in data science, machine learning, and AI.
  • Contribute to the development of data governance and best practices.
  • Oversee the end-to-end lifecycle of data science projects, ensuring timely delivery and quality.
  • Develop and maintain robust model deployment and monitoring frameworks.
Qualifications:
  • Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
  • Minimum of 7 years of experience in data science, with a proven track record of leading projects and teams.
  • Expertise in machine learning algorithms, statistical modelling, and data mining techniques.
  • Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Exceptional communication and presentation skills, with the ability to explain complex concepts.
  • Demonstrated ability to work effectively in a fully remote setting, managing projects and collaborating with distributed teams.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This fully remote position offers the chance to lead impactful data science initiatives and shape the future of predictive analytics for a company at the forefront of innovation.
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Lead Data Scientist - AI/ML for Predictive Analytics

M1 1AE Manchester, North West £70000 Annually WhatJobs

Posted 6 days ago

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full-time
Our client is seeking a highly skilled and experienced Lead Data Scientist with expertise in Artificial Intelligence and Machine Learning to join their innovative, fully remote team. This role is critical for developing and deploying advanced predictive analytics models that will drive significant business decisions and enhance product offerings. You will lead a team of talented data scientists, guiding them through the entire machine learning lifecycle, from data collection and preprocessing to model development, validation, and deployment. The ideal candidate will possess a deep understanding of statistical modeling, machine learning algorithms, and deep learning techniques, coupled with a strong ability to translate complex business problems into data-driven solutions. You will be responsible for identifying new opportunities to leverage AI/ML, designing experiments, and implementing cutting-edge solutions that deliver measurable business impact. As a remote-first company, we foster a collaborative and flexible environment where communication and knowledge sharing are paramount. You will work closely with engineering, product, and business teams to ensure that data science initiatives are aligned with strategic goals. The ability to explain complex technical concepts to non-technical stakeholders is crucial. We are looking for a leader who is passionate about data, innovation, and pushing the boundaries of what's possible with AI. Your responsibilities will include mentoring junior scientists, contributing to the development of best practices, and staying abreast of the latest advancements in the field. The role offers a unique opportunity to work on challenging projects with a significant impact on the business. This fully remote position requires strong self-discipline, excellent organizational skills, and the ability to thrive in an autonomous work environment. We value collaboration through digital tools and encourage a proactive approach to problem-solving. The successful candidate will be instrumental in shaping our client's AI strategy and driving data-informed innovation across the organization. The role is based in Manchester, Greater Manchester, UK but is fully remote.

Key Responsibilities:
  • Lead the development and deployment of AI/ML models for predictive analytics.
  • Guide and mentor a team of data scientists, fostering a culture of innovation and collaboration.
  • Identify opportunities to apply machine learning techniques to solve complex business problems.
  • Design and implement robust data pipelines and feature engineering processes.
  • Develop, validate, and deploy cutting-edge ML algorithms and deep learning models.
  • Collaborate with cross-functional teams to integrate ML solutions into production systems.
  • Communicate complex findings and recommendations to both technical and non-technical stakeholders.
  • Stay current with the latest research and advancements in AI/ML and data science.
  • Contribute to the establishment of data science best practices and standards.
  • Manage project timelines and deliverables effectively in a remote setting.
  • Drive data-driven decision-making across the organization.

Qualifications:
  • Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum of 7 years of experience in data science, with a strong focus on AI/ML.
  • Proven track record of successfully developing and deploying machine learning models in production.
  • Expertise in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of statistical modeling, algorithm design, and data mining techniques.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
  • Excellent leadership, communication, and interpersonal skills.
  • Ability to manage projects and lead teams in a remote environment.
  • Experience in predictive modeling, time series analysis, or natural language processing is a plus.
Join a leading technology-driven company and shape the future of AI. This is a fully remote role, offering significant autonomy and impact. The role is conceptually anchored in Manchester, Greater Manchester, UK , though entirely remote.
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Data Analysis and Validation Associate

Pirbright, South East CK Group- Science, Clinical and Technical

Posted 15 days ago

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Job Description

contract
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.



Salary:

147.90 per day PAYE



Data Analysis and Validation Associate role:

  • Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
  • Analyse production data to identify trends, deviations, and performance metrics.
  • Assist in the execution of cleaning validation protocols in line with GMP requirements.
  • Bring in SQL / Power BI approaches to improve the site approach to data.
  • Support sampling, documentation, and coordination of validation activities.




Your Background :

  • GMP experience is essential
  • Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
  • Understanding of cleaning validation principles and documentation practices.
  • Experience with data handling and analytics
  • Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence


Company:

Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.



Location:

This role is based at our clients site near Pirbright.



Apply:

For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).



It is essential that applicants hold entitlement to work in the UK



Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.



INDKA
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Data Analysis and Validation Associate

Pirbright, South East CK Group- Science, Clinical and Technical

Posted 15 days ago

Job Viewed

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Job Description

contract
CK Group are recruiting for a Data Analysis and Validation Associate to join a global animal health company on a contract basis for 12 months.



Salary:

147.90 per day PAYE



Data Analysis and Validation Associate role:

  • Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
  • Analyse production data to identify trends, deviations, and performance metrics.
  • Assist in the execution of cleaning validation protocols in line with GMP requirements.
  • Bring in SQL / Power BI approaches to improve the site approach to data.
  • Support sampling, documentation, and coordination of validation activities.




Your Background :

  • GMP experience is essential
  • Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
  • Understanding of cleaning validation principles and documentation practices.
  • Experience with data handling and analytics
  • Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence


Company:

Our client is a leading manufacturer of vaccines, parasiticides and pharmaceuticals to protect animals. They are also one of the fastest growing animal health companies in the UK.



Location:

This role is based at our clients site near Pirbright.



Apply:

For more information, or to apply for this Data Analysis and Validation Associate role, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (Apply online only).



It is essential that applicants hold entitlement to work in the UK



Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.



INDKA
This advertiser has chosen not to accept applicants from your region.
 

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