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There are now 2 Remote Jobs at causaLens tagged Python, Big Data and Machine Learning
such as Senior Python Developer and Talent Operations Specialist

There are now 2 Remote Jobs at causaLens tagged Python, Big Data and Machine Learning
such as Senior Python Developer and Talent Operations Specialist

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causaLens

EU-only verified

Talent Operations Specialist


causaLens

EU-only verified

recruitment

talent

hr

recruitment operations

recruitment

talent

hr

recruitment operations

EU-only9d

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**Summary**{linebreak}{linebreak}We are looking for a motivated and high-achieving Talent Operations Specialist based anywhere in Europe to join our team working on an exciting new Big Data/Machine Learning platform. This is a full time placement with significant opportunities for growth and advancement as one of the first employees of the company.{linebreak}{linebreak}**The Company**{linebreak}{linebreak}causaLens is a deep-tech startup based in London backed by prominent VCs. We are on a mission to develop a machine that predicts the global economy in real-time. We develop the next generation of autonomous predictive technology for complex and dynamic systems. We call it the CLPU (causaLens Predictive Unit). Our technology helps large organisations optimise business outcomes at scale.{linebreak}Visit www.causaLens.com to find out more.{linebreak}{linebreak}**Benefits:**{linebreak}{linebreak}Successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship and opportunities for turbo-charged professional development, as the first team member in our HR department.{linebreak}{linebreak}# Responsibilities{linebreak} * Own and optimize all hiring tools and systems related to recruitment in support of multiple operating units. The systems include ATS, CRM, sourcing tools, new hire document collection, and all other software and technology supporting recruiting{linebreak}* Optimize recruiting processes across the organization{linebreak}* Manage KPI reporting for Talent tools, create custom reporting and dashboards{linebreak}* Ensure accurate and confidential record keeping{linebreak}* Gain alignment from stakeholders on best path forward through presenting ideas clearly and effectively, guiding productive discussions, and enabling stakeholders to express concerns and goals{linebreak}* Manage Employee Referral Program {linebreak}{linebreak}# Requirements{linebreak}* BA/BS degree, or equivalent work experience in the recruitment or IT industry{linebreak}* Ability to source, identify and evaluate candidates quickly and efficiently{linebreak}* Relationship building skills; ability to interact with all levels credibly{linebreak}* Fluency in English{linebreak}* Strong analytical, time management, prioritisation and organizational skills{linebreak}* Experience with various recruitment tools and solutions{linebreak}* Attention to detail and the ability to multitask{linebreak}* Decision making and problem solving skills{linebreak}* Excellent communication and interpersonal skills{linebreak}* Proficiency in presenting and β€œselling” the company to the candidate{linebreak}* Ability to maintain a high level of confidentiality{linebreak}* Experience in a startup is a plus {linebreak}{linebreak}#Location{linebreak}- EU-only

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# How do you apply? Please send your CV and application to our email below.
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causaLens

verified

Senior Python Developer


causaLens

verified

python

big data

machine learning

numpy

python

big data

machine learning

numpy

16d

Apply

**Summary **{linebreak}We are looking for a motivated and high-achieving Senior Python Developer based anywhere in Europe to join the team working on an exciting new Big Data/Machine Learning platform. This is a full time placement with significant opportunities for growth and advancement as one of the first employees of the company. {linebreak}{linebreak}**The Company **{linebreak}causaLens is a deep-tech startup based in London backed by prominent VCs. We are on a mission to develop a machine that predicts the global economy in real-time. We develop the next generation of autonomous predictive technology for complex and dynamic systems. We call it the CLPU (causaLens Predictive Unit). Our technology helps large organisations optimise business outcomes at scale.{linebreak}Visit www.causaLens.com to find out more.{linebreak}{linebreak}**Benefits: **{linebreak}Successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship, and opportunities for professional development. {linebreak}{linebreak}# Responsibilities{linebreak} Developing an automated machine learning platform for quantitative finance. The application stack is Python, Numpy, Scipy, Sklearn, Keras, Django, Celery, Postgres, AWS, GCP. {linebreak}{linebreak}# Requirements{linebreak}* Smart, capable and can write clean code{linebreak}* Ability to design and architect high-performance distributed software{linebreak}* Development experience in at least one scripting language - preferably Python{linebreak}* Interest in machine learning/big data (prior experience plus){linebreak}* Knowledge of the Git version control system{linebreak}* Good organisational skills both in management of time and code{linebreak}* Ability to effectively work remotely (from home or a coworking space)

See more jobs at causaLens

# How do you apply? Please send your CV and application to our email below.
Apply for this Job

πŸ‘‰ Please reference you found the job on Remote OK, this helps us get more companies to post here!

When applying for jobs, you should NEVER have to pay to apply. That is a scam! Always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.