Data Scientist

London, ENG, GB, United Kingdom

Job Description

Company Description



Holotwins UK is a privately held company specializing in Digital Twins and Emerging Technologies. We assist organizations in modeling, simulating, and optimizing physical systems through intelligent virtual replicas for smarter decisions and improved operational efficiency. Our expertise covers Digital Twins, AR/VR/XR, and IoT, delivering connected, data-driven solutions across manufacturing, healthcare, and energy sectors. At Holotwins UK, we partner with forward-thinking businesses to shape a predictive, connected, and innovative future.

Company:

Holotwins

Location:

London

Job Type:

Full-Time

About Holotwins



Holotwins is a dynamic and innovative technology company at the forefront of the digital twin revolution. We provide cutting-edge software solutions to enhance operational efficiency, improve predictive maintenance, and drive data-informed decisions for our clients in sectors such as healthcare, manufacturing, and logistics. Our mission is to create a seamless, real-time bridge between the physical and digital worlds.

Position Summary



We are seeking a talented and driven

Data Scientist

to join our team and play a pivotal role in extracting valuable insights from the vast datasets generated by our digital twin solutions. The ideal candidate is passionate about applying machine learning, statistical modeling, and data analysis to solve complex, real-world problems. You will be responsible for building predictive models, optimizing algorithms, and collaborating with our engineering and product teams to integrate data-driven features directly into our products.

Key Responsibilities



Data Analysis & Modeling:

Design and develop machine learning models and algorithms to address business challenges such as predictive maintenance, anomaly detection, and operational optimization. Use statistical analysis and data mining techniques to identify trends, patterns, and insights from digital twin data. Evaluate and refine models for accuracy, performance, and scalability.

Data Integration & Pipelines:

Work with engineering teams to build and maintain robust data pipelines that ingest and process real-time and historical data from various sources (e.g., IoT sensors). Ensure data quality, consistency, and integrity for all analytical projects.

Collaboration & Communication:

Collaborate with product managers to define data-driven product features and success metrics. Present findings and insights to stakeholders in a clear and compelling manner, using data visualization tools. Stay current with the latest advancements in machine learning, AI, and data science to inform our strategy.

Qualifications



Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. 5+ years of experience as a Data Scientist or in a similar role. Proven experience in machine learning and statistical modeling. Proficiency in a programming language such as

Python

or

R

and libraries like Scikit-learn, TensorFlow, or PyTorch*.
Strong knowledge of SQL and experience working with large-scale datasets. Experience with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Spark) is a plus. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication skills and the ability to work effectively in a team.

What We Offer



A chance to work on a groundbreaking product and solve some of the most challenging problems in the industry. The opportunity to be a key driver of innovation and impact product strategy with data. A collaborative and intellectually stimulating work environment. Competitive salary, equity, and a comprehensive benefits package.
Job Type: Full-time

Pay: From 55,000.00 per year

Benefits:

Work from home
Work authorisation:

* United Kingdom (required)

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Job Detail

  • Job Id
    JD3536777
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned