About Atana Elements Atana Elements is a data-driven critical mineral e

xploration

company

looking to

identify

new resources

around the world to help the world transition to a cleaner, greener future. The company

has

recently

spun-out

from Lilac Solutions, a leading cleantech company based out of the USA

. Atana Elements is

backed by some of the biggest names in cleantech

including

Chris

Saccas

Lower

c

arbon

Capital (LCC) and Hitachi

V

entures

. Role Overview In this role, you will lead Atanas growing data science division

in

building

innovative

,

cutting edge

tools

and databases

to

facilitate

critical mineral discovery

.

U

nderpin

ning

the exploration program, you

r

role will be to

push

the deployment of machine learning models to predict

resource discovery

worldwide.

This role offers a unique opportunity to build a new team and apply innovative solutions to uncover resources critical to the energy transition. In this role, you will: Lead and grow a team of data scientists to help

identify

and interrogate

critical mineral resources

Contribute directly to the development of data science toolkits that span the mineral exploration process

Grow global datasets of geochemical, geophysical

,

geological

and commercial

data from a wide array of sources

Manage

our cloud and data infrastructure

,

maintaining

scalability as our team grows

Use effective data

story-telling

to communicate complex analysis to the wider team

Foster innovation through the adoption of new applications of AI

/ML

models

Minimum

Candidate Requirements The ideal candidate will be

a motivated

and driven data science manager

, with the following

qualifications

: Bachelors degree in

Statistics, Mathematics, Data Science, Engineering, Physics, E

arth Science

, or a related quantitative field or equivalent practical experience

At least

7

years

of

experience using data science to solve

complex

problems

Experience with database languages such as SQL and python scripting

Strong understanding of cloud-based architecture (GCP, AWS)

Demonstrated ability to incorporate AI models into data workflows

Preferred Candidate Requirements Experience with subsurface

and geospatial datasets

Track record

of leading analytical teams

Ability to work in person at Atanas technical HQ in Canary Wharf, London

Compensation Competitive salary and benefit package

Stock options in Atana Elements

TPBN1_UKTJ