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Data Scientist

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Philips

Nov 6, 2024

  • Job
    Full-time
    Mid & Senior Level
  • United Kingdom, +11
    Remote
  • Quick Apply

AI generated summary

  • You need a strong machine learning background, proficiency in Python, SQL, and R, experience with text data, ETL, MLOps, and 3-5 years in data science, ideally in the medical device industry.
  • You will develop predictive models from machine data, analyze insights for service improvements, collaborate with engineers, and communicate results to drive business decisions and growth.

Requirements

  • You have a machine learning background/expert in using the latest analytical techniques such as machine learning, deep learning, AI expert and natural language processing.
  • You are experienced in Python, SQL, R, Java data analysis and visualization of this data.
  • You have a data science background in handling "difficult text based" data sets, ETL knowledge and machine learning operations (MLOps) experience.
  • You are a team player and able to actively participate in a model team on technical level and you are a go to person willing to learn from and teach others (hands on, open and approachable personality).
  • You are self motivated, and you are eager to keep yourself updated about technical developments and practices in own field through literature, courses/trainings, technical contacts, and competitive environment.
  • You have 3 to 5 years experience in the data scientist space where experience in or affinity with medical device industry is nice to have.

Responsibilities

  • You will enrich the Remote Monitoring Team of the Services and Solutions Deliverability department on development of advanced predictive and proactive remote diagnostic models and ETLs using data from our various interventional X-ray systems and sub-systems in the field using advanced analytics, modelling and AI techniques.
  • The Remote Monitoring Team is responsible for proactively monitoring the installed base of our fixed systems labs and is providing all remote diagnostic content to the field supporting predictive/proactive services, reactive remote and onsite services. The team is also a crucial source of machine data towards our quality and R&D groups for continuous improvement and future developments.
  • You will be part of our Philips Image Guided Therapy fixed systems business.
  • Do you enjoy diving into extensive data lakes of machine data and various other data sources to deliver complex data models that will provide insights for service solutions towards end users? In this data scientist role, you will navigate the complexity of machine data of our systems combined with e.g. historical service case data to drive improvements in our remote predictive and proactive capabilities to prevent unplanned downtime of our customers.
  • The data you will be working with is both input for new predictive/proactive/diagnostic models as well as input for our quality and regulatory departments for improvements for future releases of our products and solving issues in the field.
  • You will be working in a service and engineering environment with subject matter experts from Service and in close collaboration with software and hardware engineers, business and market colleagues.
  • You will be planning analysis of the data and preparing attributes for the first model development phase, preparing the model for QA testing and eventually bringing the model into production and maintenance including the communication of the results of your efforts to the teams and stakeholders.
  • The insights provided should drive business decisions and contribute to the growth of Philips.

FAQs

What is the main focus of the Data Scientist role in the Remote Monitoring Team?

The main focus of the Data Scientist role is to develop advanced predictive and proactive remote diagnostic models and ETLs using data from interventional X-ray systems, aiming to enhance remote monitoring and reduce unplanned downtime for customers.

What kind of data will I be working with in this position?

You will be working with extensive machine data from fixed systems combined with historical service case data to create complex data models that provide insights for service solutions.

What analytical techniques are preferred for this role?

A strong background in machine learning, deep learning, AI, and natural language processing is preferred for this role.

Which programming languages and tools should I be proficient in?

Proficiency in Python, SQL, R, and Java for data analysis and visualization is required.

Is experience in the medical device industry important for this role?

Experience in or an affinity with the medical device industry is considered a plus but not mandatory.

What collaborative environment will I be a part of?

You will collaborate closely with subject matter experts from Service, as well as software and hardware engineers, business, and market colleagues.

How much experience is required for this position?

A minimum of 3 to 5 years of experience in the data science field is required.

Will I have opportunities for professional development?

Yes, you are encouraged to keep yourself updated about technical developments in your field through literature, courses, trainings, and contacts in the competitive environment.

What kind of personality traits are valued in this position?

Being self-motivated, a team player, open to learning and teaching others, and having a hands-on and approachable personality are highly valued traits.

What is Philips' mission as a health technology company?

Philips is dedicated to ensuring that everyone has access to quality healthcare, emphasizing that every human matters and striving to improve lives through their work.

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Philips

There's always a way to make life better.

Science & Healthcare
Industry
10,001+
Employees
1891
Founded Year

Mission & Purpose

Philips is a global technology company that focuses on healthcare, consumer lifestyle, and lighting solutions. They are dedicated to improving people's lives through meaningful innovation and advanced technologies. Their ultimate mission is to make the world healthier and more sustainable by providing innovative healthcare solutions that enhance patient outcomes and enable better living. Additionally, Philips aims to enhance people's daily lives with their consumer products, ranging from home appliances to personal care items. Through their lighting solutions, they strive to create efficient and sustainable lighting experiences for individuals and communities, promoting energy conservation and environmental responsibility.