Principal Machine Learning Scientist - Time Series Expert

intelmatix; London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading deep-tech AI company in London is seeking a Principal Machine Learning Scientist specializing in time series analysis. In this pivotal role, you will design and implement advanced machine learning models and algorithms while ensuring data integrity and collaborating with engineering teams to drive innovative solutions in forecasting and predictive analytics.

Benefits

Medical insurance for you and your dependents

Salary advance for housing costs

Role-related training support

Children's school allowance

Relocation support

Travel tickets

Wellness programs

Pension contributions

In-office snacks pantry

Qualifications

• 5+ years in quantitative analytics or data modeling.
• Strong focus on time series data.
• Advanced knowledge in applying deep learning techniques.

Responsibilities

• Design and implement machine learning models for time series data.
• Create robust machine learning pipelines for scalability.
• Collaborate with engineering to transition prototypes to production.

Skills

Expertise in Time Series Analysis

Machine Learning Techniques

Python

SQL

Education

Master’s degree in a quantitative field

Tools

AWS S3/EC2

TensorFlow

Facebook Prophet

Statsmodels

GitHub Actions

Jenkins

AWS CodePipeline

Job description

Principal Machine Learning Scientist - Time Series Expert

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About Intelmatix

We are a deep-tech AI company founded by a group of MIT technologists and with global presence with offices located strategically in Riyadh, London and Boston, enabling international operation and diverse collaborations with businesses worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate

About Intelmatix

We are a deep-tech AI company founded by a group of MIT technologists and with global presence with offices located strategically in Riyadh, London and Boston, enabling international operation and diverse collaborations with businesses worldwide. We are committed to transforming companies into cognitive enterprises by making our Decision Intelligence technology accessible and easy to integrate

Job Overview

Join our team as a Principal Machine Learning Scientist, with a special focus on time series analysis. This pivotal role merges cloud infrastructure, DevOps practices, and advanced machine learning to automate and deploy sophisticated computational models tailored for time series data across diverse industries. You'll lead the development of innovative solutions, driving our technological evolution with a focus on forecasting, predictive analytics and dynamic data modeling

Key Responsibilities

• Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data
• Architect Time Series Machine Learning Pipelines: Create robust pipelines specifically designed for time series data workflows, ensuring scalability, efficiency, and seamless flow from data ingestion to model deployment
• Ensure Data Integrity for Time Series:Conduct thorough audits and cleansing of time series data, develop strategies for managing seasonality, trends, and noise to power insightful predictive models
• Develop Scalable Time Series Algorithms: Craft algorithms and models that are accurate and adaptable for time series data, ensuring reliable predictions and insights from evolving datasets
• From Prototype to Production: Collaborate with the engineering team to transition time series analytical prototypes into optimized, scalable, and integrated production applications
• Drive Business Insights with Time Series Data: Leverage time series analysis to extract actionable insights, informing strategic decisions and promoting business improvements with clear communication to stakeholders
  
  

Required Qualifications

• Advanced Expertise in Time Series Analysis: Master’s degree (or equivalent) in a quantitative field (e.g., Computer Science, Engineering) with a strong focus on time series data
• Proven Experience:5+ years in quantitative analytics or data modeling, with a deep understanding of machine learning techniques specific to time series analysis
• Technical Proficiency:Expertise in Python and SQL, with significant experience using time series libraries (e.g., Statsmodels, Facebook Prophet, TensorFlow Time Series) and cloud technologies (e.g., AWS S3/EC2) alongside CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline)
  
  

Preferred Qualifications

• Leadership in Time Series Projects: Experience leading projects focused on time series forecasting and analysis, demonstrating the ability to mentor teams and manage cross-functional projects
• Deep Learning for Time Series:Advanced knowledge in applying deep learning techniques (using TensorFlow, PyTorch) to time series data, enhancing predictive accuracy and model complexity
• Ethical AI and Continuous Learning:A strong understanding of AI ethics and privacy considerations, especially in the context of time series data, coupled with a commitment to continuous learning and staying abreast of the latest trends and research in time series analysis and machine learning
  
  

Employee Benefits

At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include:

• Medical insurance for you and your dependents
• Salary advance for housing costs
• Role-related training support
• Children's school allowance
• Relocation support
• Travel tickets
• Wellness programs
• Pension contributions
• In-office snacks pantry
  
  

We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Software Development

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