Senior Data Scientist at Halborn

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supply ChainIndustries

Requirements

MSc or PhD degree in mathematics, computer science, statistics, physics, engineering, or another scientific discipline that provides solid foundations on relevant aspects of Data Science
3-5 years of industry experience with developing machine learning models and creating software pipelines for their execution
Experience with supply chain modelling and optimisation
Experience and strong understanding of machine learning algorithms, mathematical modelling and industrial applications of AI
Scientific mindset and ability to conceptualize, prototype and implement algorithms to solve complex business problems
Professional-level programming experience with Python, R, SQL
Good working knowledge of cloud-based and local data science frameworks and environments
Strong experience with time series analysis, modelling and forecasting, hierarchical reconciliation
Initiative and ability to work independently and collaboratively within a cross-functional team
Strong communication skills for technical and non-technical audiences

Responsibilities

Developing, optimising and executing data science models in the space of integrated business planning (forecasting, scenario modelling and simulation, quantitative assessment, optimisation)
Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science solutions for a set of relevant industrial problems
Work on a variety of datasets to train and validate machine learning models
Define and implement metrics to evaluate the functional performance, and the computational resource efficiency of ML and AI components
Support the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance)
Manage the whole lifecycle DS/ML models, monitoring, gathering data for retraining, and update
Potentially leverage external data to boost model performance
Perform code reviews and ensure excellent code quality
Collaborate with colleagues in the Data Science team to develop technical excellence
Collaborate with squad members from different Teams to develop understanding of the broader business and Data context
Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility
Work closely with key stakeholders to determine business objectives
Contribute to the development of the Team’s data science toolbox of reusable DS, ML, and AI assets
Motivate, coach, mentor colleagues within the Data Science Team to develop technical excellence
Proactive engagement in personal development and development of the direct reports

Skills

Machine Learning

Data Science

Forecasting

Scenario Modelling

Simulation

Optimization

Supply Chain Modelling

ML Pipelines

Model Deployment

Code Review

Halborn

Cybersecurity for blockchain and digital assets

About Halborn

Halborn specializes in cybersecurity focused on blockchain technology and digital assets. The firm provides security audits, penetration testing, and consulting services to clients in the digital finance sector, including cryptocurrency exchanges and Decentralized Finance (DeFi) companies. Their services help ensure the security of digital assets and financial infrastructure by addressing the specific security threats associated with blockchain technology. Halborn stands out from competitors due to its deep understanding of both blockchain and traditional financial security, which allows them to offer tailored solutions. The company's goal is to protect businesses from security threats, ensuring the safe operation of digital exchanges and the integrity of smart contract infrastructure.

Miami, FloridaHeadquarters

2019Year Founded

$87.5MTotal Funding

SERIES_ACompany Stage

Cybersecurity, Financial ServicesIndustries

51-200Employees