Data Scientist

Unipart Technologies Group

Unipart Technologies Group's Instrumentel division is renowned for its asset monitoring solutions in extreme conditions. They offer services in predictive analytics and condition monitoring to enhance asset performance. The Data Scientist role exists to leverage complex datasets for actionable insights, addressing critical challenges in industries such as rail and manufacturing.

In this role you can expect to have the responsibilities:

• Develop and apply advanced statistical and machine learning techniques for data analysis.
• Perform feature engineering on diverse data including time-series and sensor data.
• Build and deploy predictive models to extract actionable insights.
• Implement MLOps pipelines for model deployment and monitoring.
• Create data visualisations and communicate findings through storytelling.
• Utilize computer vision for detecting anomalies in images and videos.
• Collaborate with experts and customers to understand and address business challenges.
• Contribute to research in data science advancements.
• Work with cross-functional teams to deliver data solutions.

This role comes with the following benefits:

• Opportunities for research and innovation.
• Collaboration with a diverse team across industries.

This role requires you to have:

• Degree in Mathematics, Computer Science, Statistics, or a related field.
• Statistical modeling, machine learning, and data mining expertise.
• Proficiency in Python, R, SQL, and familiarity with relational databases.
• Excellent communication and interpersonal skills.

You would benefit from having:

• Experience with natural language processing.
• Familiarity with Agile methodologies.
• Understanding of computer vision techniques.

Candidates should demonstrate a strong analytical mindset, the ability to work independently and collaboratively, a passion for learning, and a commitment to high-quality work.