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Data Scientist

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  • Job
    Full-time
    Mid & Senior Level
  • London

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Requirements

  • Production level Python experience
  • Good communication and data visualization skills
  • Strong understanding of statistical and ML techniques (experience with Computer Vision would be beneficial)
  • Experience with commonly used data science libraries (sklearn, pandas, numpy)
  • Experience with deep learning frameworks (Tensorflow, PyTorch, Fastai) is beneficial but not necessary
  • Familiar with git, bash and coding best practices
  • Familiarity with AWS (EC2, S3, Lambda, Batch) would be beneficial
  • BSc & MSc (at least one of these should be in statistics, data science or a similar field)

Responsibilities

  • Developing and deploying ML models (Python)
  • Performing statistical analysis on multimodal datasets
  • Managing code in a production environment
  • Optimising and scaling existing data pipelines
  • Contributing to academic publications

FAQs

What qualifications are required for the Data Scientist position?

Applicants should have at least a BSc or MSc in statistics, data science, or a similar field.

What programming languages and technologies should I be familiar with for this role?

Candidates are expected to have production-level experience in Python and familiarity with data science libraries such as sklearn, pandas, and numpy. Experience with deep learning frameworks like TensorFlow or PyTorch is beneficial but not necessary.

Is experience in the biomedical sector required for this position?

While having previous work experience in the biomedical sector would be beneficial, it is not mandatory.

What are the main responsibilities of a Data Scientist at Machine Medicine Technologies?

Main responsibilities include developing and deploying ML models, performing statistical analysis on multimodal datasets, managing code in a production environment, optimizing and scaling existing data pipelines, and contributing to academic publications.

What level of experience is required for this job?

The position is targeted at mid-level candidates with multiple years of industry experience in data science.

Does the company provide visa sponsorship for this position?

Yes, visa sponsorship is available for qualified candidates.

What tools and platforms should I be familiar with concerning AWS?

Familiarity with AWS services such as EC2, S3, Lambda, and Batch would be beneficial for this role.

Are there opportunities for career development within the company?

Yes, employees are encouraged to take on career development opportunities that may not be available at larger, more established companies.

What are the company culture and work environment like at Machine Medicine Technologies?

The company has a fast-moving startup culture with an energetic and dynamic team, focused on disrupting the MedTech industry with AI. Employees are encouraged to engage in teamwork and activities, such as table tennis or online gaming sessions.

What benefits do employees receive?

Employees receive a competitive salary, participation in an employee equity programme, pension plans, and 25 days of annual leave plus bank holidays.

Human Resources
Industry
11-50
Employees
2011
Founded Year

Mission & Purpose

Energy Jobline is a global job board that specialises in the energy, engineering, and power industries. They connect professionals with career opportunities in sectors like oil and gas, renewables, nuclear, and power generation. Their ultimate mission is to support the global energy workforce by providing a platform for job seekers to find relevant roles and for employers to access top talent. The purpose of Energy Jobline is to facilitate career development and recruitment in the energy sector, contributing to the industry's growth and innovation.

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