Senior Data Scientist

We are seeking a skilled Data Scientist to design and develop cutting-edge machine learning (ML) models and collaborate closely with software engineers to bring these models into production. In this role, you will play a pivotal part in shaping ML-driven solutions by creating high-quality models, optimizing their performance, and ensuring they align seamlessly with business objectives and deployment requirements.

Objectives

• Collaborate with stakeholders to design and develop machine learning models tailored to business needs.

• Prepare and process large datasets to ensure readiness for ML model development.

• Ensure ML models are production-ready by aligning them with the software engineering team’s deployment requirements.

• Explore and incorporate innovative ML techniques, including Large Language Models (LLMs), into solutions.

• Drive continuous improvement of deployed models through rigorous monitoring, evaluation, and iteration.

Responsibilities

• Work closely with stakeholders to define ML use cases and translate business challenges into data-driven solutions.

• Design, develop, and validate machine learning models to address key business problems.

• Prepare and preprocess data for model development, ensuring quality and readiness for production.

• Conduct feature engineering, selection, and optimization to improve model accuracy and performance.

• Collaborate with software engineers to ensure models are production-ready, scalable, and compatible with deployment requirements.

• Evaluate and iterate on model performance post-deployment, ensuring continued relevance and effectiveness.

• Explore and implement cutting-edge ML techniques, including Large Language Models (LLMs), for advanced applications.

• Document workflows, methodologies, and results to ensure transparency and reproducibility.

• 5 years + experience in developing and deploying machine learning models

• Extensive background in data mining and statistical analysis

• Practical experience with data processing, database programming and data analytics

• Knowledge of machine learning techniques

• Knowledge of advanced statistical techniques and concepts

• Expertise with statistical computer languages: R, Python, SQL

• Experience with big data technologies like Hadoop and Apache Spark

• Machine learning pipeline management

• Machine learning algorithm utilisation & development

• Publishing machine learning model results to a web service

• Using Azure Machine Learning Service and Azure Databricks Service (beneficial)

• Investigative and inquisitive nature with a passion for research

• Highly analytical with a knack for analysis, math and statistics.

• Critical thinking and problem-solving skills

• Excellent pattern recognition and predictive modelling skills

• Comfortable working with a wide range of stakeholders and functional teams

Academic & Professional Qualifications:

• Microsoft Certified: Azure Data Scientist Associate (beneficial)

• Microsoft Certified: Azure Data Engineer Associate (beneficial)

• Microsoft Certified: Data Analyst Associate (beneficial)

• AWS Certified: Machine Learning Specialty (beneficial)

• AWS Certified: Big Data Specialty (beneficial)

• Masters Degree/PHD