Explore exciting Data Scientist jobs in What Jobs are available for Data Scientist in Edinburgh?
Showing 91 Data Scientist jobs in Edinburgh
Graduate Data Scientist - Predictive Analytics
EH1 2EB Edinburgh, Scotland
£30000 annum (pro
WhatJobs Direct
Posted 1 day ago
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Job Description
Our client, a pioneering analytics firm dedicated to leveraging data for strategic decision-making, is looking for ambitious Graduate Data Scientists to join their innovative, fully remote team. This internship is an exceptional opportunity for recent graduates to gain hands-on experience in predictive modeling, machine learning, and advanced data analysis. You will work on real-world projects, applying your academic knowledge to solve complex business challenges across various sectors. Responsibilities include data cleaning, feature engineering, developing and validating predictive models, and communicating findings to both technical and non-technical audiences. You will collaborate with experienced data scientists and analysts, benefiting from mentorship and professional development. The ideal candidate will possess a strong quantitative background, a solid understanding of statistical concepts, and proficiency in programming languages such as Python or R, along with relevant data science libraries. As this is a remote internship, strong communication skills, self-motivation, and the ability to work effectively as part of a distributed team are crucial. You will be exposed to cutting-edge data science tools and methodologies, contributing to meaningful insights and solutions. This internship provides a valuable stepping stone for a career in data science.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Develop and implement statistical models and machine learning algorithms for predictive analytics.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Collaborate with senior data scientists to build, test, and deploy models.
- Visualize data and model results to communicate findings effectively.
- Contribute to the documentation of data science processes and methodologies.
- Participate in team meetings and contribute ideas for new analytical approaches.
- Learn and apply new data science techniques and tools.
- Support A/B testing and experimental design.
- Assist in generating reports and presentations for stakeholders.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical principles and machine learning concepts.
- Proficiency in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Familiarity with SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and adapt to new technologies and challenges.
- A genuine passion for data and its potential to drive business value.
- Previous internship or project experience in data analysis or data science is a plus.
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0
Senior Data Scientist - Predictive Analytics
EH1 1EN Edinburgh, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist to lead advanced analytics initiatives, specializing in predictive modeling. This position is fully remote, offering a dynamic work environment where you can leverage your expertise to drive business insights from complex datasets. You will be responsible for developing and deploying machine learning models, performing sophisticated statistical analysis, and communicating findings to stakeholders. The ideal candidate will have a strong background in data science, machine learning, statistical modeling, and programming, with a proven track record of delivering impactful data-driven solutions. As a senior member, you will mentor junior data scientists and contribute to the strategic direction of our data science capabilities.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of predictive models and machine learning algorithms to solve complex business problems.
- Extract, clean, and transform large, complex datasets from various sources.
- Perform advanced statistical analysis and hypothesis testing.
- Develop and deploy machine learning models for applications such as forecasting, customer segmentation, anomaly detection, and recommendation systems.
- Validate model performance, interpret results, and communicate actionable insights to business stakeholders through compelling visualizations and presentations.
- Collaborate with engineering teams to integrate models into production systems.
- Mentor and guide junior data scientists, fostering best practices in data science and model development.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Contribute to the development of data science strategies and best practices within the organization.
- Ensure the ethical and responsible use of data and algorithms.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- A minimum of 5-7 years of hands-on experience in data science, machine learning, and statistical modeling.
- Proven expertise in Python or R, including experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their applications.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
- Proficiency in SQL and experience working with relational databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and effectively in a fully remote team environment.
- Experience with MLOps practices is a plus.
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1
Remote Lead Data Scientist - Predictive Analytics
EH1 1AB Edinburgh, Scotland
£75000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is looking for an exceptional Lead Data Scientist with a strong background in predictive analytics to join their fully remote team. In this role, you will spearhead the development and deployment of advanced machine learning models that drive business insights and product innovation. You will work on complex datasets, designing experiments, building robust predictive models, and communicating findings to stakeholders across the organization. This is a unique opportunity to shape the future of data-driven decision-making within a forward-thinking company. You will lead a team of talented data scientists, providing technical guidance, mentorship, and strategic direction. Your responsibilities will include identifying new opportunities for leveraging data, defining project roadmaps, and ensuring the quality and scalability of our predictive solutions. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is essential. You should have a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. The ability to translate complex analytical results into clear, actionable recommendations for both technical and non-technical audiences is paramount. This role is entirely remote, offering flexibility and the chance to collaborate with a diverse, geographically distributed team. We are committed to fostering a collaborative and innovative remote work environment. Strong programming skills in Python or R, along with experience in SQL and data visualization tools, are required. A PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is highly desirable. Proven experience in leading data science projects and mentoring junior team members is a must. If you are passionate about uncovering insights from data and driving business impact through advanced analytics, we encourage you to apply. This role requires excellent communication skills and a proactive approach to problem-solving. You will be at the forefront of applying cutting-edge techniques to solve real-world business challenges. Embrace the opportunity to work from anywhere in the UK while contributing to a company that values innovation and data excellence.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of predictive models.
- Mentor and manage a team of data scientists.
- Identify and explore new data sources and analytical opportunities.
- Collaborate with engineering teams to integrate models into production systems.
- Communicate complex findings and recommendations to stakeholders.
- Ensure the quality, scalability, and performance of analytical solutions.
- Stay abreast of the latest advancements in data science and machine learning.
- Define project requirements and technical specifications.
- Develop and maintain robust data pipelines and processing frameworks.
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Extensive experience in data science and machine learning, with a focus on predictive modeling.
- Proven experience leading data science projects and teams.
- Proficiency in Python or R, SQL, and relevant data science libraries.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Strong understanding of statistical analysis and experimental design.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively in a remote setting.
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2
Remote Senior Data Scientist - Predictive Analytics
EH1 1BG Edinburgh, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a forward-thinking data analytics company dedicated to unlocking business value through data-driven insights, is seeking a highly skilled Senior Data Scientist to join their established remote team. This role offers the unique opportunity to work on challenging predictive modeling and machine learning projects that have a direct impact on client strategy and operations. The ideal candidate will possess a strong statistical foundation, expertise in advanced machine learning techniques, and a proven ability to translate complex data into actionable business recommendations. This position is 100% remote, allowing for exceptional work-life balance and the flexibility to work from anywhere within the UK.
Responsibilities include:
We require candidates with a Master's or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field, coupled with at least 5 years of professional experience in data science or machine learning. Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy) are essential. Strong experience with SQL and working knowledge of big data technologies (e.g., Spark, Hadoop) are highly desirable. Candidates must possess exceptional analytical, problem-solving, and critical thinking skills, with a demonstrated ability to tackle ambiguous problems. Excellent verbal and written communication skills are critical for presenting findings and collaborating effectively in a remote setting. This is an exciting opportunity to make a significant impact on business outcomes through advanced analytics, working flexibly from home.
Responsibilities include:
- Developing, implementing, and deploying sophisticated predictive models and machine learning algorithms to solve complex business problems.
- Collecting, cleaning, and transforming large, diverse datasets from various sources.
- Conducting exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Designing and executing A/B tests and other experimental methodologies to validate model performance.
- Communicating complex analytical findings and recommendations to both technical and non-technical stakeholders through clear and compelling presentations and reports.
- Collaborating closely with data engineers, business analysts, and product managers to integrate data science solutions into production environments.
- Staying abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Mentoring junior data scientists and contributing to the team's technical growth and knowledge sharing.
- Evaluating and recommending new tools, technologies, and methodologies to enhance the data science practice.
- Ensuring the ethical and responsible use of data and models.
We require candidates with a Master's or PhD in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field, coupled with at least 5 years of professional experience in data science or machine learning. Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy) are essential. Strong experience with SQL and working knowledge of big data technologies (e.g., Spark, Hadoop) are highly desirable. Candidates must possess exceptional analytical, problem-solving, and critical thinking skills, with a demonstrated ability to tackle ambiguous problems. Excellent verbal and written communication skills are critical for presenting findings and collaborating effectively in a remote setting. This is an exciting opportunity to make a significant impact on business outcomes through advanced analytics, working flexibly from home.
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3
Graduate Data Scientist
EH1 1YL Edinburgh, Scotland
£30000 Annually
WhatJobs Direct
Posted 1 day ago
Job Viewed
Job Description
Our client is looking for ambitious and bright Graduate Data Scientists to join their pioneering, fully remote internship program. This is an exceptional opportunity for recent graduates to gain hands-on experience in the field of data science, working on real-world projects and contributing to impactful business decisions. You will be mentored by experienced data scientists and have the chance to develop your skills in data analysis, machine learning, and statistical modeling, all from the comfort of your own remote workspace.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement statistical models and machine learning algorithms under guidance.
- Support the development and testing of predictive models.
- Visualize data and model results effectively to communicate findings.
- Contribute to the documentation of data science processes, methodologies, and results.
- Collaborate with cross-functional teams to understand data needs and deliver insights.
- Assist in the evaluation and interpretation of model performance.
- Learn and apply various data science tools and techniques.
- Participate in team meetings and contribute to discussions on data-driven strategies.
- Research new data science methodologies and technologies.
- Help maintain data pipelines and ensure data quality.
- Support A/B testing design and analysis.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- Strong foundation in statistics, probability, and machine learning concepts.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Understanding of database concepts and SQL.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A passion for data and uncovering insights.
- Prior internship or project experience in data analysis or related fields is a plus.
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4
Junior Data Scientist
EH1 2AA Edinburgh, Scotland
£30000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is seeking bright and ambitious graduates to join their innovative Data Science team as Junior Data Scientists. This is a fully remote, entry-level position designed for individuals who are passionate about data, eager to learn, and possess strong analytical and problem-solving skills. You will work alongside experienced data scientists, gaining hands-on experience in data analysis, machine learning model development, and data visualization. The role offers comprehensive training and mentorship, providing a solid foundation for a successful career in data science within a supportive, virtual environment. You will contribute to exciting projects that leverage data to drive business insights and inform strategic decisions.
Responsibilities and learning opportunities:
Responsibilities and learning opportunities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Support the development and implementation of machine learning models under supervision.
- Create data visualizations and dashboards to communicate findings effectively.
- Collaborate with senior data scientists and other team members using virtual collaboration tools.
- Learn and apply statistical modeling techniques.
- Assist in testing and validating data models and algorithms.
- Contribute to documentation of data science processes and methodologies.
- Stay updated with emerging trends and technologies in data science and machine learning.
- Participate in team meetings and contribute to project discussions.
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5
Graduate Data Scientist
EH1 2AB Edinburgh, Scotland
£30000 Annually
WhatJobs Direct
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking an enthusiastic and bright Graduate Data Scientist to join their innovative team. This is an exciting internship opportunity for recent graduates looking to launch their career in data science. The role is fully remote, offering a unique chance to gain hands-on experience and contribute to meaningful projects from anywhere in the UK. You will work closely with experienced data scientists, applying statistical analysis, machine learning techniques, and data visualization to derive insights and support strategic decision-making. Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Apply statistical methods and machine learning algorithms to analyze data and identify patterns and trends.
- Develop and implement data models to support predictive analytics and forecasting.
- Create compelling data visualizations and reports to communicate findings to technical and non-technical stakeholders.
- Collaborate with senior data scientists on research and development of new analytical approaches.
- Participate in code reviews and contribute to the development of robust data science pipelines.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Document methodologies, code, and results thoroughly.
- Contribute to a collaborative and innovative remote team environment.
- Support ad-hoc data analysis requests from various business units.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Strong foundation in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering), and experimental design.
- Proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with SQL and database management.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and as part of a remote team, demonstrating strong self-management and initiative.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine passion for data and uncovering insights.
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6
Graduate Data Scientist
EH1 2AA Edinburgh, Scotland
£28000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is a dynamic and innovative company committed to developing future talent. They are excited to offer a Graduate Data Scientist internship, providing an unparalleled opportunity for recent graduates to kick-start their careers in data science. This role is designed for individuals with a strong quantitative background, a passion for problem-solving, and an eagerness to learn and apply advanced analytical techniques. You will be part of a supportive, remote-first team, working on real-world projects that contribute directly to the company's success. Your responsibilities will include data collection, cleaning, analysis, and assisting in the development of predictive models. You will gain hands-on experience with cutting-edge tools and methodologies under the guidance of experienced data scientists.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis to identify patterns, trends, and insights.
- Support senior data scientists in developing and testing machine learning models.
- Contribute to the creation of data visualizations and reports to communicate findings.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with team members on assigned projects, contributing ideas and solutions.
- Document methodologies, findings, and code clearly and thoroughly.
- Participate in team meetings and present work in progress.
- Adhere to data privacy and security best practices.
- Seek opportunities for continuous learning and skill development in data science.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- Strong foundation in statistical concepts and mathematical principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Basic understanding of machine learning concepts and algorithms.
- Experience with data manipulation and analysis tools is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to manage tasks effectively.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- A proactive and enthusiastic approach to learning and contributing.
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7
Lead Data Scientist
EH1 2AA Edinburgh, Scotland
£80000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a prominent financial technology firm based in the heart of Edinburgh, Scotland, UK , is looking for an exceptional Lead Data Scientist to spearhead their advanced analytics initiatives. This is a critical role that requires a visionary leader capable of driving innovation and delivering data-driven insights that shape business strategy. You will be responsible for building and leading a team of talented data scientists, setting the technical direction for data science projects, and collaborating with stakeholders across engineering, product, and marketing. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) coupled with extensive hands-on experience in machine learning, statistical modeling, and predictive analytics. Expertise in programming languages such as Python or R, and proficiency with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) are essential. Responsibilities include developing sophisticated models to address complex business problems, performing rigorous data analysis, communicating findings effectively to both technical and non-technical audiences, and staying abreast of the latest advancements in the field. You will guide the team in developing robust data pipelines, implementing MLOps best practices, and ensuring the ethical and responsible use of data. This role offers a unique opportunity to make a significant impact on the company's growth and success by leveraging data to uncover new opportunities and optimize operations.
Key Responsibilities:
Key Responsibilities:
- Lead and mentor a team of data scientists.
- Develop and implement advanced machine learning models and statistical analyses.
- Define data science strategy and roadmap.
- Collaborate with cross-functional teams to identify and address business challenges.
- Communicate complex findings and recommendations to stakeholders.
- Oversee data model deployment and performance monitoring.
- Ensure data quality, integrity, and ethical usage.
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8
Senior Data Scientist
EH1 2ED Edinburgh, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology company, is seeking a highly analytical and experienced Senior Data Scientist to join their dynamic team in Edinburgh, Scotland, UK . This role is crucial for leveraging data to drive business insights, develop predictive models, and inform strategic decision-making. If you possess a strong statistical background, advanced programming skills, and a passion for uncovering actionable insights from complex datasets, we want to hear from you.
As a Senior Data Scientist, you will lead advanced analytics projects, from data exploration and preprocessing to model development, validation, and deployment. You will work with large, complex datasets, applying machine learning algorithms, statistical modeling, and data mining techniques to solve challenging business problems. You will collaborate closely with engineering, product, and business teams to translate data-driven insights into tangible business value. This role requires a deep understanding of statistical methodologies and a proven ability to communicate complex findings effectively to both technical and non-technical audiences.
Key Responsibilities:
As a Senior Data Scientist, you will lead advanced analytics projects, from data exploration and preprocessing to model development, validation, and deployment. You will work with large, complex datasets, applying machine learning algorithms, statistical modeling, and data mining techniques to solve challenging business problems. You will collaborate closely with engineering, product, and business teams to translate data-driven insights into tangible business value. This role requires a deep understanding of statistical methodologies and a proven ability to communicate complex findings effectively to both technical and non-technical audiences.
Key Responsibilities:
- Design and implement statistical models and machine learning algorithms to address business needs.
- Perform data exploration, cleaning, feature engineering, and validation on large datasets.
- Develop and deploy predictive models for forecasting, classification, clustering, and anomaly detection.
- Evaluate model performance and iterate to improve accuracy and efficiency.
- Collaborate with engineering teams to integrate models into production systems.
- Communicate complex findings and recommendations clearly and concisely to stakeholders at all levels.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's knowledge sharing.
- Identify opportunities for leveraging data to drive business growth and innovation.
- Develop dashboards and visualizations to present data insights effectively.
- Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or a related discipline.
- Minimum of 5 years of experience in data science or a related analytical role.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with SQL and working with large databases.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to work independently and collaboratively in a team environment.
- Experience in specific industry domains is an advantage.
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