You should possess strong analytical skills, proficiency in data analysis tools, experience with machine learning, and a background in statistics, preferably in the energy sector.

You will analyze energy data, develop models, interpret results, and create visualizations to support decision-making and optimize energy processes. Collaborate with teams to implement solutions.

United Kingdom

London

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.

Human Resources

Energy Jobline

Energy

Job Description

About you

You are an ambitious and capable data scientist with a background in computational statistics and machine learning, with multiple years of industry experience. You have put relevant statistical and machine learning techniques into practice in production settings, understanding the pitfalls encountered with optimising data pipelines and applications. Previous work in a biomedical sector would be beneficial but not mandatory. You care about impact and want to do work that matters.

List Of Main Duties And 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
   
   

Skills


 * 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
   
   

Qualifications


 * BSc & MSc (at least one of these should be in statistics, data science or a similar field)
   
   

Additional Information


 * Experience level: Mid
 * Tech stack used: Python, AWS
 * Primary skills we consider: Python, Sklearn
 * Secondary skills we consider: AWS, Tensorflow, PyTorch, Fastai
 * Employment type: Permanent and Full time
 * Visa sponsorship: Available
   
   

About Us

Machine Medicine Technologies (MMT) uses computer vision and computational statistics to enhance the neurological assessment of patients. Our first product, KELVIN, allows motor assessments in Parkinson’s disease to be performed, recorded and used both faster and better than has ever previously been possible. KELVIN-PD is already in use at clinical sites across several countries. MMT aims to build the platform into a generalised tool for patient selection, surgical planning and device programming for machine brain interfacing, a revolutionary therapeutic innovation.

Culture

A fast-moving startup, with an energetic and dynamic team, looking to disrupt the MedTech industry with AI. Our employees are encouraged to take on the sort of career development opportunities that cannot be found at larger, more established, companies. We are in the highly regulated medical device industry, so our engineering team has to have an even greater focus on quality, usability and versatility. We also like to blow off steam, whether that’s playing a few rounds of table tennis in the office, or arranging an online gaming session.

Company Benefits


 * Competitive salary
 * Employee equity programme
 * Pension
 * 25 days annual leave (+ bank holidays)

Data Scientist - Energy Jobline

&lt;strong&gt;Job Description&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;strong&gt;About you&lt;br&gt;&lt;br&gt;&lt;/strong&gt;You are an ambitious and capable data scientist with a background in computational statistics and machine learning, with multiple years of industry experience. You have put relevant statistical and machine learning techniques into practice in production settings, understanding the pitfalls encountered with optimising data pipelines and applications. Previous work in a biomedical sector would be beneficial but not mandatory. You care about impact and want to do work that matters.&lt;br&gt;&lt;br&gt;&lt;strong&gt;List Of Main Duties And Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Developing and deploying ML models (Python) &lt;/li&gt;&lt;li&gt;Performing statistical analysis on multimodal datasets &lt;/li&gt;&lt;li&gt;Managing code in a production environment &lt;/li&gt;&lt;li&gt;Optimising and scaling existing data pipelines &lt;/li&gt;&lt;li&gt;Contributing to academic publications &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Skills&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Production level Python experience &lt;/li&gt;&lt;li&gt;Good communication and data visualization skills &lt;/li&gt;&lt;li&gt;Strong understanding of statistical and ML techniques (experience with Computer Vision would be beneficial) &lt;/li&gt;&lt;li&gt;Experience with commonly used data science libraries (sklearn, pandas, numpy) &lt;/li&gt;&lt;li&gt;Experience with deep learning frameworks (Tensorflow, PyTorch, Fastai) is beneficial but not necessary &lt;/li&gt;&lt;li&gt;Familiar with git, bash and coding best practices &lt;/li&gt;&lt;li&gt;Familiarity with AWS (EC2, S3, Lambda, Batch) would be beneficial&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Qualifications&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;BSc &amp;amp; MSc (at least one of these should be in statistics, data science or a similar field) &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Additional Information&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Experience level: Mid&lt;/li&gt;&lt;li&gt;Tech stack used: Python, AWS&lt;/li&gt;&lt;li&gt;Primary skills we consider: Python, Sklearn&lt;/li&gt;&lt;li&gt;Secondary skills we consider: AWS, Tensorflow, PyTorch, Fastai&lt;/li&gt;&lt;li&gt;Employment type: Permanent and Full time&lt;/li&gt;&lt;li&gt;Visa sponsorship: Available&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;About Us&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Machine Medicine Technologies (MMT) uses computer vision and computational statistics to enhance the neurological assessment of patients. Our first product, KELVIN, allows motor assessments in Parkinson’s disease to be performed, recorded and used both faster and better than has ever previously been possible. KELVIN-PD is already in use at clinical sites across several countries. MMT aims to build the platform into a generalised tool for patient selection, surgical planning and device programming for machine brain interfacing, a revolutionary therapeutic innovation.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Culture&lt;br&gt;&lt;br&gt;&lt;/strong&gt;A fast-moving startup, with an energetic and dynamic team, looking to disrupt the MedTech industry with AI. Our employees are encouraged to take on the sort of career development opportunities that cannot be found at larger, more established, companies. We are in the highly regulated medical device industry, so our engineering team has to have an even greater focus on quality, usability and versatility. We also like to blow off steam, whether that’s playing a few rounds of table tennis in the office, or arranging an online gaming session.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Company Benefits&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Competitive salary&lt;/li&gt;&lt;li&gt;Employee equity programme&lt;/li&gt;&lt;li&gt;Pension&lt;/li&gt;&lt;li&gt;25 days annual leave (+ bank holidays)&lt;/li&gt;&lt;/ul&gt;

Data Scientist

Requirements

Responsibilities

FAQs

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Energy Jobline

Mission & Purpose