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Data Scientist

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  • Job
    Full-time
    Entry Level
  • London

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 is the experience level required for this data scientist position?

The required experience level is mid-level, with multiple years of industry experience.

What are the primary programming languages and tools used for this role?

The primary programming language used in this role is Python, with an emphasis on libraries such as sklearn, pandas, and numpy.

Is prior experience in the biomedical sector necessary for this position?

Previous work in the biomedical sector would be beneficial but is not mandatory.

What qualifications are needed for this data scientist role?

A Bachelor's degree and a Master's degree are required, with at least one degree in statistics, data science, or a similar field.

Will I need to perform statistical analysis on datasets?

Yes, performing statistical analysis on multimodal datasets is one of the main duties of this role.

Are there opportunities for contributing to academic publications?

Yes, contributing to academic publications is part of the responsibilities for this position.

What type of work environment can I expect?

You can expect a fast-moving startup environment with an energetic and dynamic team focused on disrupting the MedTech industry with AI.

Is visa sponsorship available for this position?

Yes, visa sponsorship is available for applicants who require it.

What kind of benefits does the company offer to employees?

The company offers a competitive salary, employee equity program, pension, and 25 days of annual leave plus bank holidays.

Is experience with deep learning frameworks necessary for this role?

Experience with deep learning frameworks such as Tensorflow, PyTorch, and Fastai is beneficial but not necessary.

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.