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<h3>JOIN US.</h3>
We are all educators. We are all learners. And we're united by the drive to put powerful new tools in people’s hands. If you'd like to join us, we'd love to hear from you.

Decoded

Facilitator (APAC) - Data & Digital (Freelance) (f/m/d)

Facilitator (US) - Data & Digital (Freelance) (f/m/d)

Facilitator (EMEA) - Data & Digital (Freelance) (f/m/d)

About Verisart
Verisart is committed to helping creators own their futures and build their careers by using web3 and blockchain technology to make it easier to mint, sell, create and connect. Since 2015, Verisart has worked with over 25,000 creators and is the most trusted and creator-driven platform for minting NFTs, selling more art, and connecting with collectors. <a href="http://www.verisart.com/" target="_blank">www.verisart.com</a>
What we’re looking for
A Blockchain Engineer interested in the potential of NFTs to solve problems at the intersection of art and technology. You are comfortable across the DApp stack with strong Ethereum, EVM and/or Flow experience. You care about the product end-to-end and making life easy for customers. You're up for the challenge of a greenfield project for a B2C NFT marketplace.
Prioritizing UK-based candidates
This role has a hybrid working pattern. We are not able to offer visa sponsorship for this role. We are prioritizing candidates already in the UK and within traveling distance to our office in Mayfair, London.

Verisart

Blockchain Engineer (f/m/d)

What you will do
<ul>
<li>Develop complex algorithms for industrial processes optimisation based on machine learning methods using data from real equipment;</li>
<li>Deep dive into the domain of industrial processes by studying theory with the world's leading experts;</li>
<li>Develop models using highly complex methods based on maths modelings of physical processes;</li>
<li>Analyse algorithm performance bottlenecks and propose solutions for improvement, retrofitting, and optimisation;</li>
<li>Closely work with client representatives, visit production facilities, and take an active part in business processes;</li>
<li>Prepare new algorithms for deployment and support deployment to production;</li>
<li>Monitor algorithms metrics, statistics, and performance;</li>
<li>Work in a team and collaborate with other colleagues to contribute to a common knowledge base.</li>
</ul>
Job Requirements
<ul>
<li>BA/MS/PhD degree in Computer Science, Physics, Math or similar;</li>
<li>Strong mathematical background in Machine Learning and Deep Learning;</li>
<li>Over 3 years of work experience in Machine Learning (time series);</li>
<li>Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;</li>
<li>Solid understanding of anomaly detection and signals processing and analysis;</li>
<li>Excellent coding skills in Python;</li>
<li>Practical knowledge of ML/DL frameworks (Scikit, PyData stack, Tensorflow, PyTorch, etc.);</li>
<li>Ability to postulate and verify research hypotheses, explain and present results.</li>
</ul>

Conundrum

Data Scientist (Time Series Analysis) (f/m/d)

What you will do
<ul>
<li>Develop innovative machine learning algorithms for analysis of time series, generated by industrial process;</li>
<li>Analyse algorithm performance bottlenecks and propose solutions for improvement and optimisation;</li>
<li>Prepare new algorithms for deployment and support deployment to production;</li>
<li>Monitor algorithms metrics, statistics and performance;</li>
<li>Work in a team and collaborate with other colleagues to contribute into common knowledge base;</li>
<li>Manage individual project priorities, deadlines and deliverables;</li>
<li>Mentor and navigate team members in terms of possible problem solutions while leaving the space for their own problem solving skills development and creativity;</li>
<li>Perform project planning and track the project progress, make sure that all the deliverables are finished within deadlines and at the highest quality;</li>
<li>Be proactive on possible improvements of the overall team performance and seek for tight collaboration with other teams within the company who work on similar projects.</li>
</ul>
Job Requirements
<ul>
<li>BA/MS/PhD degree in Computer Science, Physics, Math or similar;</li>
<li>Strong mathematical background in Machine Learning and Deep Learning;</li>
<li>Over 5 years of work experience in Machine Learning;</li>
<li>Over 2 years of data science team leadership experience;</li>
<li>Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;</li>
<li>Solid understanding of anomaly detection and signals processing and analysis;</li>
<li>Excellent coding skills in Python;</li>
<li>Practical knowledge of ML/DL frameworks (Scikit, PyData stack, Tensorflow, PyTorch, etc.);</li>
<li>Familiar with concurrent programming;</li>
<li>Ability to postulate and verify research hypotheses, explain and present results.</li>
</ul>

Lead Data Scientist (f/m/d)

Deep Render

IT Specialist (f/m/d)

<h2> Data Analyst </h2>
<h3> Job description </h3>
About Greyparrot:
The world is in a waste crisis. Currently, we produce 2.1 billion tons of solid waste per year. Data collection of the waste we produce is non-existent, meaning no systematic transparency and no accountability. As a result, recycling targets are not upheld, dumping of waste into our oceans remains nobody's responsibility, recyclables get sent to landfill or incineration, and producers get away with sub-standard packaging. By 2040 the plastic stock in the ocean will have quadrupled - a problem that already costs society $1.5 trillion every year. 
Our mission at Greyparrot is to digitise waste to increase transparency and efficiency in recycling by providing data analytics to sorting centres, packaging producers and regulators. Currently, our camera system and AI software are deployed in recycling plants and waste facilities, <a href="https://www.greyparrot.ai/blog/a2a-case-study?hsLang=en" target="_blank">like A2A</a>, around the world to measure material flows and provide waste analytics. We made significant progress in 2021 - a summary of the highlights can be viewed <a href="https://www.youtube.com/watch?v=QVK9Qe48HQs&amp;feature=emb_title" target="_blank">here</a> and a video of the latest robotic application of our product can be viewed <a href="https://www.linkedin.com/posts/ambarishmitra_robotic-artificialntelligence-robots-activity-6873563906229460992-L0yu" target="_blank">here</a>. We’re looking for a Data Analyst to further accelerate our efforts.
<h3> Job requirements </h3>
About the role: 
The Data Analyst role will focus on generating insights from our waste analytical data for both internal validation and client presentations. Reporting to the Head of Data, you will work on analysis of waste metrics captured at customer sites around the UK and beyond. You will be highly numerate and skilled in modern data analysis scripting and presentation tools. Internal tasks will include implementing analytical processes to ensure quality and correctness, external tasks will focus on adding value to customers through novel insight and good presentation skills . Occasionally this will involve interfacing with clients and their data team members directly as an important component of our trusted relationships. This position will suit someone who enjoys working with data to ensure quality and creating stories from data for external stakeholders. 
A typical day in this role looks like:
<ul>
<ul></ul>
</ul>
<ul>
<li>
Analysing data from the operational dashboard and daily CSV reports
</li>
<li>
Manipulating data to respond to client questions or investigative analysis to ensure data reliability
</li>
<li>
Preparing presentations or reports for client meetings
</li>
<li>
Delivering presentations in a compelling way internally and externally
</li>
<li>
Working with the data managers to define future areas of work such as new data requirements
</li>
<li>
Supporting Image Annotation process
</li>
</ul>
Core competencies needed for this role include:
<ul>
<li>
Analytically robust: Manipulating and investigating data to uncover new insights
</li>
<li>
Storytelling: Ability to pull out and craft a narrative around what the data is telling us
</li>
<li>
Thorough: Meticulous about the quality and accuracy of data and findings
</li>
</ul>
Requirements:
<ul>
<ul></ul>
</ul>
<ul>
<li>
A higher degree in maths, or equivalent experience
</li>
<li>
2+ years experience in a Data Analyst role, or similar
</li>
<li>
Proficient in common data analysis scripting tools such as python (numpy / pandas), R, matlab etc.
</li>
<li>
Proficient in using visualisation tools such as power BI or tableau
</li>
<li>
Comfortable attending and presenting in client-facing meetings
</li>
<li>
Aware of the boundaries of your own knowledge and how to collaborate with others to complete a task, especially in regards to waste domain specific requirements
</li>
<li>
Ability to self-organise and prioritise tasks
</li>
<li>
Passion for addressing the waste crisis or other environmental issues
</li>
</ul>
It’d be a plus if you had:
<ul>
<li>
Consulting experience
</li>
<li>
Knowledge of the waste industry
</li>
<li>
Knowledge of a European language
</li>
</ul>
<ul>
<ul></ul>
</ul>
On offer:
<ul>
<li>
Competitive London-based salary (salary band available upon application)
</li>
<li>
Employee stock option scheme	
</li>
<li>
Customised hybrid working between office and home (open to remote working)
</li>
<li>
25 days holiday each year, plus bank holidays
</li>
<li>
Paid sick leave for physical and mental health needs
</li>
<li>
Unlimited fresh fruit, tea, coffee and healthy snacks	
</li>
<li>
Enhanced maternity, paternity, adoption or shared parental leave
</li>
</ul>
A few things to note: 
<ul>
<li>
Applications are reviewed on a rolling basis.
</li>
<li>
Only applicants who have the right to work in the UK will be considered at this time.
</li>
<li>
We are 100% committed to building a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability.
</li>
<li>
If you don’t quite match everything above but you feel you can succeed in this role, please still apply.
</li>
</ul>

Greyparrot

Data Analyst (f/m/d)

8 Data Jobs in London, UK