Marketing Data Scientist

3 weeks ago


United Kingdom Arqiva Group Full time

Location We operate a flexible, hybrid working environment with the candidate required to travel to either our Winchester or London office once or twice a week.
10% Bonus
~6% pension contribution
~ Private Medical
~25 days annual leave
~ Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance
~ Our commitment to a flexible and hybrid working culture

As a Data Scientist, you will be responsible for
Developing, deploying, and maintaining machine learning models and pipelines using Python, AWS, Databricks and MLOps tools.
Collaborating with data analysts, data engineers, product owners and business stakeholders to understand the requirements and objectives of various machine learning projects.
Applying best practices and standards for machine learning development, testing, monitoring and documentation.
Performing exploratory data analysis, feature engineering, model selection, hyperparameter tuning and evaluation.
Troubleshooting and resolving issues related to data quality, model performance and scalability.
Researching and staying updated on the latest trends and technologies in machine learning and data engineering.
A bachelor’s degree or higher in computer science, engineering, mathematics, statistics or a related field.
At least 5 years of experience in machine learning and data engineering, preferably in a cloud environment.
Proficiency in Python and its popular libraries such as pandas, NumPy, scikit-learn, TensorFlow, pytorch, etc.
Experience in using AWS services such as S3, EC2, Lambda, Sagemaker, Glue, etc.
Experience in building end-to-end machine learning pipelines, from data ingestion and processing to model deployment and monitoring.
Experience in working with structured and unstructured data, such as text, images, audio, video, etc.
Experience in applying machine learning techniques such as supervised, unsupervised and reinforcement learning, as well as deep learning, natural language processing, computer vision, etc.
Experience in using SQL and NoSQL databases, such as PostgreSQL, DynamoDB, etc.
We are the undisputed leader in UK TV and radio broadcast , and the UK’s leading Smart utilities platform . This means we have a strong heritage and foundation for future growth for you to grow your career with us .
Our journey is to transition global media distribution to cloud solutions , where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors . We have opportunities in new technology applications and products , you will have opportunities to learn and develop with us.
Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work.
Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks
Seniority level Mid-Senior level

Employment type Full-time

Job function Engineering and Information Technology
Industries Telecommunications, Broadcast Media Production and Distribution, and IT Services and IT Consulting
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