Enso Recruitment is working on behalf of our client to find a talented Data Scientist.
If you are passionate about machine learning and predictive modelling, and thrive in a dynamic, data-driven environment, this role offers an exciting chance to develop innovative solutions that have a real impact.
Key Responsibilities: Build and implement machine learning models and statistical tools to solve complex business challenges.
Collaborate with stakeholders across various departments to deliver data-driven insights and solutions.
Develop tools and scripts for predictive modelling and machine learning applications.
Integrate both internal and external data sources to improve the accuracy of models and the impact on the business.
Communicate technical findings and methodologies to both technical and non-technical teams.
Stay current with advancements in data science, machine learning, and AI to continuously improve solutions.
Manage project timelines, ensuring tasks are completed on schedule.
Essential Criteria: 3+ years of experience in a data science role, applying methods like Gradient Boosting Machines (GBMs), deep learning, GLMs, or graph mining.
Degree (2:1 or higher) in mathematics, computer science, statistics, physics, or a related quantitative field.
Strong programming skills, particularly in Python, R, or equivalent languages.
Proficiency with machine learning libraries and frameworks such as TensorFlow, Spark, or scikit-learn.
Experience handling large datasets using SQL, NoSQL, or big data platforms like Hadoop.
Proven ability to manage multiple projects and solve complex problems effectively.
Desirable Criteria: Experience in leading and managing data science or analytics projects.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
Previous experience in deploying data science models into production environments.
Benefits: Competitive salary with flexible working arrangements.
Generous leave allowance, healthcare coverage, and pension schemes.
Access to industry-leading learning platforms and excellent career growth opportunities.
Inclusive and diverse workplace focused on continuous learning and innovation.