Data Scientist

at  Applus IDIADA

Cambridge CB24 6AZ, , United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate22 Dec, 2024Not Specified25 Sep, 20242 year(s) or aboveAws,Computer Science,Python,Scikit Learn,Pandas,Mathematics,Data Analysis,Applied Mathematics,Learning Techniques,Code,Machine Learning,Data Science,CollaborationNoNo
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Description:

Company Description
For more than three decades, Applus+IDIADA has been an esteemed global partner to the automotive industry, offering comprehensive design, engineering, testing, and homologation services to support clients in their product development endeavours.

KEY ASPECTS OF IDIADA’S PRODUCT DEVELOPMENT EXCELLENCE:

  • Innovation at the core: IDIADA’s success is rooted in a fusion of highly experienced engineers, cutting-edge facilities, and an unwavering commitment to innovation.
  • Expertise in action: our product development triumphs are a testament to the expertise of our engineers and the efficiency of our state-of-the-art facilities.
  • Global reach: with a workforce of 3,000 professionals and a network of 56 subsidiaries in 22 countries, IDIADA ensures clients receive swift, customized solutions on a global scale.
    At IDIADA UK, we specialise in delivering cutting-edge engineering, homologation, and testing solutions that drive the future of mobility. Some of our services include:
    Body and Passive Safety Development: shape the safety standards of tomorrow with our avant-garde projects.
    ADAS and Brakes Testing: immerse yourself in the forefront of automotive technology, testing advanced driver assistance systems and brakes.
    Functional Safety and Cybersecurity: contribute to the critical fields of functional safety and cybersecurity, safeguarding the future of connected vehicles.
    Electronics HW and SW Development: be at the heart of electronic innovation, developing cutting-edge hardware and software solutions.
    Homologation: navigate the regulatory landscape as we pave the way for compliant and revolutionary vehicles.
    With facilities in Cambridge, Warwick, and Nuneaton, we’re at the forefront of automotive innovation throughout the UK.
    Job Description
    At IDIADA, our Digital Business team is dedicated to developing cutting-edge digital solutions that enhance global products and processes. We strive to provide reliable, fast, and efficient ways to organise and leverage information for both the IDIADA Group and our clients. Our mission is to be recognised as a leader in digital innovation, delivering customer-centric solutions that optimise costs, expand our digital service portfolio, and increase value.
    We are currently seeking two Data Scientists to join our Digital Solutions - DataLab team. In this role, you will be responsible for developing and evolving data-driven products and applications that align with our mission of innovation and excellence.

QUALIFICATIONS

  • Strong foundation in mathematics and proficiency with a wide range of statistical methods and machine learning algorithms.
  • Excellent problem-solving skills, with a logical and organised approach to data analysis.
  • Ability to communicate technical concepts effectively, both through written documentation and in collaboration with team members.
  • Attention to detail, with a keen ability to spot errors in data and code.
  • Creative, out-of-the-box thinking, with a drive to find innovative solutions to complex challenges.
  • Proficiency in Python, with experience in key data science and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow).
  • 2+ years of experience working on data science projects.
  • Strong understanding of data science, machine learning, and deep learning techniques.
  • Experience with cloud platforms such as AWS is a plus.
  • Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related field.
  • A Master’s degree in Data Science or a related discipline is an advantage.
    Additional Information

Responsibilities:

  • Collect, organise, and process data to derive actionable insights.
  • Develop, test, and validate machine learning models and algorithms.
  • Write clean, efficient code to implement data-driven solutions.
  • Analyse complex datasets to identify patterns, trends, and anomalies.
  • Collaborate with cross-functional teams to design and build innovative digital products.
  • Document and communicate your work clearly, ensuring thorough code documentation and sharing knowledge with peers.


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer science software engineering applied mathematics or a related field

Proficient

1

Cambridge CB24 6AZ, United Kingdom