Data Scientist – Sustainability Fintech SaaS. Remote. £75-95K

Location
London
Salary
£75,000 - £95,000 5% Employer Pension Contribution + 25 days holiday
Posted
21 Jan 2022
Closes
18 Feb 2022
Ref
15796
Sectors
IT
Contract Type
Permanent
Hours
Full Time

Do you want to change the world one step at a time?

We have an exciting opportunity for a Sustainable Data Scientist with strong technical coding skills with Python to join our sustainability fintech business.

If you have a keen interest in technology and building meaningful products to improve the planet and you want to work for a business that offers career progression, we’d love to hear from you.

Role Info:

Sustainable Data Scientist – Sustainability Fintech SaaS
Remote Working with London Team Meet-Ups (within commuting distance to London)
£75,000 – £95,000
5% Employer Pension Contribution + 25 days holiday
Product: Tech products for companies to report against environmental and societal goals
Pedigree: One of the ‘Europe’s most promising companies’ – UK Government.
Values: Trust. Business & Social Integrity. Partnership. Diverse Voices. Transformation

Who we are:

We are a sustainability reporting fintech company, championing trusted data and measuring for impact, through ground-breaking tech solutions. Company Tracker on our G17eco platform is the first app in the world that can map any company's sustainability initiatives directly to the Sustainable Development Goals (SDG).

Our Story:

Founded in 2016, we are the brainchild of our Founder Manjula (Women in Fintech Powerlist & Best Female Led Investment Award) who was determined to create an organisation that would have no other agenda but to unite Government, Business, Civil society and Citizens for the delivery of the Sustainable Development Goals.

We now work with over 50 partners and have 15 distribution partners across the globe such as Hong Kong, US, Australasia, Middle East, Africa, South America and Europe.

Your next opportunity:

We are looking for an experienced data scientist to join our Sustainability Team to help enhance the performance of G17Eco. The overarching goals of the role are to:

+ Maintain and develop modelling and data engineering processes for G17Eco (platform) enhancement
+ Support the Chief Sustainability Officer performing analysis on large sets of data and mathematical underpinnings
+ Support the Sustainability team in the development of data-driven insights and their communication to third parties, through clear data visualization
+ Collaborate with the Technology team to improve user journey by understanding client needs from the wider workforce and translating this into client solutions and improved data visualization

About You:

Qualifications:

+ Advanced degree (Master’s or Ph.D.) in a quantitative discipline (economics, computer science, statistics, Machine Learning, Applied Mathematics, Physics, etc.), + Expertise in advanced analytical techniques (Machine learning is a must, pattern recognition, optimization (GANs, Neural Nets: LSTMs, CNNs, etc. are desired),
+ Advanced Excel knowledge.
+ Sustainability knowledge is a plus.

Experience:

+ At least five years’ experience in data science, quantitative methods, modeling, data visualization
+ Experience deploying ML models into Production Environments
+ Strong technical coding skills with Python
+ Experience in practical machine learning using frameworks such as scikit-learn, Keras, TensorFlow, PyTorch, GGPlot, MatplotLib, and familiarity with cloud technology stacks (GCP, some knowledge of CUDA)
+ 3+ years of industry experience.

Sounds like a good fit? Apply here for a fast-track path to our Leadership Team.

Your Experience / Background / Previous Roles May Include:
Data Scientist, Data Analyst, Data Engineer, Data Architect, Sustainability.

Application notice… We take your privacy seriously. When you apply, we shall process your details and pass your application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy & Notice on our website for further details.

If you have any pre-application questions please contact us first quoting the job title & ref. Good luck, Team RR.

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