903 Predictive Analytics jobs in the United Kingdom
Junior Data Scientist - Predictive Analytics
Posted today
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Job Description
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.
- 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.
Senior Data Scientist - Predictive Analytics
Posted 2 days ago
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Job Description
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.
- 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.
Junior Data Scientist - Predictive Analytics
Posted 4 days ago
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Job Description
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.
Junior Data Analyst - Predictive Analytics
Posted 5 days ago
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Job Description
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.
- 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.
Senior Data Scientist - Predictive Analytics (Remote)
Posted 3 days ago
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Job Description
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.
- 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.
Senior Insurance Data Scientist - Predictive Analytics
Posted 5 days ago
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Job Description
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.
Remote Lead Data Scientist - Predictive Analytics
Posted 6 days ago
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Job Description
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.
- 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.
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Lead Data Scientist - AI/ML for Predictive Analytics
Posted 6 days ago
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Job Description
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.
Data Analysis and Validation Associate
Posted 15 days ago
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Job Description
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
Data Analysis and Validation Associate
Posted 15 days ago
Job Viewed
Job Description
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