Data Scientist- Unipart Technologies Group Leeds LS11 8JT Full-time
Full time @Data Science Career in Data Science , in Data Scientist Shortlist Email JobJob Detail
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Job ID 25490
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Sector Data Science
Job Description
Full job description
Instrumentel is a world-leading provider of asset monitoring solutions for precision measurement in extreme environments. Our solutions include Condition-Based Predictive Maintenance, Condition Monitoring of remote assets and predictive analytics to improve asset performance.
We are now looking to recruit a Data Scientist to join our busy team in Leeds. As a Data Scientist at Instrumentel, you will leverage your analytical skills and technical expertise to develop innovative data-driven solutions. You will work with cross-functional teams to extract meaningful insights from complex datasets, build robust machine learning models, and deploy scalable solutions that address critical business challenges across a variety of industries, including rail, manufacturing, sustainability, and FMCG.
Key responsibilities of the role will include:
- Data Analysis and Modeling:Â Develop and apply advanced statistical and machine learning techniques to analyze large and complex datasets.
- Feature Engineering:Â Extract meaningful features from diverse data sources, including time-series, sensor data, and image data.
- Model Development and Deployment:Â Build, train, and deploy predictive models to identify patterns, anomalies, and actionable insights.
- Machine Learning Operations (MLOps):Â Collaborate with teams to implement robust MLOps pipelines for model deployment, monitoring, and retraining.
- Data Visualisation / Story Telling:Â Create clear and impactful data visualisations to communicate findings to both technical and non-technical audiences, using methods such as data story telling and interactive communication tools (i.e. plotly)
- Machine Vision:Â Apply computer vision techniques, e.g. object detection, instance segmentation, OCR, to analyse images and videos, enabling the detection of defects, anomalies, and operational inefficiencies.
- Domain Expertise:Â Collaborate with industry experts and customers to gain a deep understanding of business challenges and requirements, and translate them into actionable data-driven solutions.
- Innovation and Research:Â Stay up-to-date with the latest advancements in data science and machine learning, and contribute to research and development initiatives.
- Collaboration:Â Work closely with cross-functional teams, including engineers, product managers, and domain experts, to deliver impactful solutions.
The successful candidate will be qualified to Degree level in Mathematics, Computer Science, Statistics, Physics, or a similarly quantitative field. Candidates must also be able to demonstrate the following skills and experience
- Experience in statistical modeling, machine learning, data mining, unstructured data analytics, natural language processing.
- Proficiency in statistical and other tools/direct coding languages, e.g., Python, R, SQL.
- Familiarity with relational databases and intermediate-level knowledge of SQL.
- Sound understanding of a wide range of statistical techniques.
- Advanced analytical techniques, e.g., regression analysis, predictive analysis, data mining.
- Agile Methodologies.
- Experience in data mining/feature selection.
- Understanding of machine learning/predictive modeling.
- Excellent communication skills (both written and verbal).
- High self-motivation and ability to work autonomously.
- Excellent interpersonal skills dealing with stakeholders at all levels within the organization.
- Experience with computer vision techniques (e.g., image classification, object detection).
- Ability to work with large datasets and complex data pipelines.
- Ability to translate business requirements into technical solutions.
In addition to the above experience, candidates must be able to demonstrate a strong analytical mind and a keen eye for detail, the ability to work independently and as part of a team, a passion for learning and staying up-to-date with the latest trends in data science and machine learning and a strong work ethic with a commitment to delivering high-quality work.