4 Predictive Analytics jobs in the United Kingdom
Junior Data Scientist - Predictive Analytics
PO1 2LA Portsmouth, South East
£25000 annum (pro-
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Our client, a forward-thinking technology consultancy, is seeking enthusiastic and bright aspiring data professionals for a Junior Data Scientist internship. This is an excellent opportunity for graduates or individuals early in their career to gain hands-on experience in a fully remote setting. You will work alongside experienced data scientists, contributing to real-world projects focused on predictive analytics and machine learning. If you are passionate about uncovering insights from data and possess a strong analytical mindset, this role is for you. The work will be conducted entirely remotely, allowing you to contribute from anywhere.
Internship Responsibilities:
Qualifications and Skills:
This remote internship offers a valuable learning experience and the chance to contribute to innovative projects from Portsmouth, Hampshire, UK .
Internship Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Contribute to the evaluation and validation of model performance.
- Generate visualizations and reports to communicate findings to the team.
- Collaborate with team members using remote communication and project management tools.
- Learn and apply statistical techniques and programming languages relevant to data science.
- Assist in documenting methodologies and code.
- Participate in team meetings and contribute to brainstorming sessions.
- Gain exposure to cloud platforms and Big Data technologies.
Qualifications and Skills:
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistics and machine learning concepts.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of SQL for data retrieval.
- Excellent problem-solving abilities and a keen eye for detail.
- Strong communication skills, both written and verbal.
- Ability to work independently and manage tasks effectively in a remote environment.
- Eagerness to learn and adapt to new technologies.
- A portfolio of personal projects demonstrating data analysis skills is a plus.
This remote internship offers a valuable learning experience and the chance to contribute to innovative projects from Portsmouth, Hampshire, UK .
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Graduate Data Scientist - Predictive Analytics
NE1 1SA Newcastle upon Tyne, North East
£30000 Annually
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Our client is looking for an ambitious and analytical Graduate Data Scientist to join their growing data science team. This is a fully remote position, offering a fantastic opportunity for recent graduates to kickstart their careers in data science, specializing in predictive analytics. You will work on challenging projects, leveraging data to uncover insights, build predictive models, and drive business decisions. The role provides comprehensive training, mentorship from experienced data scientists, and exposure to a wide range of tools and techniques.
This is a remote-first role, allowing you to contribute to innovative data projects from the comfort of your home.
Your responsibilities will include:
We are seeking candidates who have recently completed or are about to complete a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Strong analytical and problem-solving skills are essential, along with a foundational understanding of statistics, machine learning, and data mining techniques. Proficiency in at least one programming language commonly used in data science (e.g., Python) and experience with SQL are required. A portfolio showcasing personal data science projects, academic research, or contributions to open-source projects is highly beneficial. Excellent communication skills and the ability to work effectively in a remote team environment are crucial. You should be eager to learn, curious, and passionate about leveraging data to solve complex problems. This is an ideal entry-level role for a motivated graduate looking to build a successful career in data science from Newcastle upon Tyne, Tyne and Wear, UK .
This is a remote-first role, allowing you to contribute to innovative data projects from the comfort of your home.
Your responsibilities will include:
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Developing and implementing predictive models using machine learning algorithms and statistical techniques.
- Performing exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Collaborating with senior data scientists to validate model performance and interpret results.
- Visualizing data and model outputs to communicate findings effectively to technical and non-technical audiences.
- Contributing to the development of data pipelines and analytical workflows.
- Learning and applying various data science tools and programming languages, such as Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
- Staying updated with the latest advancements and best practices in data science and machine learning.
- Participating in code reviews and contributing to the team's knowledge base.
- Assisting in the deployment and monitoring of machine learning models in production environments.
- Understanding business requirements and translating them into data-driven solutions.
- Conducting research on new methodologies and technologies relevant to predictive analytics.
- Contributing to documentation of data models and analytical processes.
We are seeking candidates who have recently completed or are about to complete a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Strong analytical and problem-solving skills are essential, along with a foundational understanding of statistics, machine learning, and data mining techniques. Proficiency in at least one programming language commonly used in data science (e.g., Python) and experience with SQL are required. A portfolio showcasing personal data science projects, academic research, or contributions to open-source projects is highly beneficial. Excellent communication skills and the ability to work effectively in a remote team environment are crucial. You should be eager to learn, curious, and passionate about leveraging data to solve complex problems. This is an ideal entry-level role for a motivated graduate looking to build a successful career in data science from Newcastle upon Tyne, Tyne and Wear, UK .
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1
Remote Senior Data Scientist - Predictive Analytics
CF10 1AA Cardiff, Wales
£70000 Annually
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Our client, a leading innovator in the mining technology sector, is seeking a highly skilled Senior Data Scientist to join their fully remote team, contributing to the development of advanced predictive analytics solutions. This role offers the flexibility to work from anywhere in the UK, focusing on leveraging vast datasets to optimize mining operations and drive efficiency. The position is crucial for advancing the company's data-driven decision-making capabilities.
As a Senior Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms to extract insights from complex mining data. Your work will involve analyzing operational data, geological information, and sensor readings to predict equipment failures, optimize resource extraction, and improve safety protocols. You will collaborate with cross-functional teams, including geologists, engineers, and operations managers, to translate data insights into actionable strategies. A strong foundation in statistical modeling, machine learning techniques, and data visualization is essential.
Key responsibilities include:
As a Senior Data Scientist, you will be responsible for designing, developing, and deploying sophisticated machine learning models and algorithms to extract insights from complex mining data. Your work will involve analyzing operational data, geological information, and sensor readings to predict equipment failures, optimize resource extraction, and improve safety protocols. You will collaborate with cross-functional teams, including geologists, engineers, and operations managers, to translate data insights into actionable strategies. A strong foundation in statistical modeling, machine learning techniques, and data visualization is essential.
Key responsibilities include:
- Designing and implementing machine learning models for predictive maintenance, production optimization, and risk assessment in the mining industry.
- Collecting, cleaning, and preprocessing large datasets from various sources, including sensors, operational logs, and geological surveys.
- Developing and validating algorithms using programming languages like Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Interpreting model results and communicating complex findings clearly to technical and non-technical stakeholders.
- Collaborating with domain experts to identify business challenges and opportunities for data science solutions.
- Developing and maintaining data pipelines and workflows for model deployment and monitoring.
- Staying abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contributing to the development of best practices and standards for data science within the organization.
The ideal candidate will possess a Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 5 years of experience as a Data Scientist, preferably in the mining, energy, or heavy industry sectors. Proven experience in building and deploying predictive models, particularly in areas like time-series forecasting, anomaly detection, and optimization, is required. Strong programming skills in Python or R, along with expertise in SQL and experience with cloud platforms (AWS, Azure, GCP) are essential. Familiarity with big data technologies (e.g., Spark) and data visualization tools (e.g., Tableau, Power BI) is highly desirable. Excellent problem-solving skills, a curious mindset, and the ability to work effectively in a remote, collaborative environment are critical. This is an exceptional opportunity to apply cutting-edge data science techniques to solve challenging problems in a vital global industry, all while enjoying the benefits of a fully remote work arrangement.
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2
Senior AI/ML Engineer, Predictive Analytics
DE1 0AA Derby, East Midlands
£65000 Annually
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Our client is a leader in AI-driven solutions and is looking for a talented Senior AI/ML Engineer to join their innovative team in Derby, Derbyshire . This role focuses on designing, developing, and deploying machine learning models for predictive analytics and data-driven decision-making. You will work with large datasets, cutting-edge algorithms, and a collaborative team of data scientists and engineers.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and deploy scalable machine learning models for various business applications, focusing on predictive analytics.
- Develop and maintain data pipelines for model training, evaluation, and deployment.
- Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Conduct feature engineering, model selection, hyperparameter tuning, and performance evaluation.
- Implement MLOps best practices for model versioning, deployment, monitoring, and retraining.
- Stay up-to-date with the latest research and advancements in AI, machine learning, and deep learning.
- Optimize model performance for efficiency and scalability in production environments.
- Write clean, maintainable, and well-documented code in Python or other relevant languages.
- Contribute to the development of internal tools and libraries to improve the ML workflow.
- Present findings and model performance to technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science with a focus on predictive modeling.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of various machine learning algorithms (regression, classification, clustering, deep learning).
- Experience with data processing frameworks like Spark is a plus.
- Knowledge of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and teamwork abilities.
- Experience with data visualization tools.
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