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Data Scientist

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Energy Jobline

1mo ago

  • Job
    Full-time
    Mid & Senior Level
  • London

AI generated summary

  • You need production-level Python, good communication, data visualization skills, knowledge of ML/statistics, experience with libraries like sklearn, and familiarity with AWS. BSc/MSc in relevant fields required.
  • You will develop ML models, perform statistical analysis on multimodal datasets, manage code in production, optimize data pipelines, and contribute to academic publications.

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 position?

The experience level required for this position is mid-level.

What is the primary programming language used in this role?

The primary programming language used in this role is Python.

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

No, prior experience in the biomedical sector is beneficial but not mandatory.

What type of educational background is preferred for applicants?

A BSc and MSc are preferred, with at least one degree in statistics, data science, or a similar field.

Are there opportunities for career development within the company?

Yes, employees are encouraged to take on career development opportunities that cannot be found at larger, more established companies.

Is visa sponsorship available for this job?

Yes, visa sponsorship is available.

What type of data science libraries should applicants be familiar with?

Applicants should be familiar with commonly used data science libraries such as sklearn, pandas, and numpy.

What deep learning frameworks are beneficial but not necessary for this position?

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

Does the company provide any employee benefits?

Yes, the company offers a competitive salary, employee equity programme, pension, and 25 days of annual leave plus bank holidays.

What is the culture like at Machine Medicine Technologies?

The culture at Machine Medicine Technologies is fast-moving and energetic, with a focus on disrupting the MedTech industry with AI. Employees can also enjoy recreational activities like table tennis and online gaming sessions.

Energy Jobline

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.