Graduate Data Scientist
Location: Birmingham, United Kingdom
Employment Type: Full-time
Are you a talented graduate with a passion for AI-driven solutions? Our client, an innovative technology company specializing in artificial intelligence and machine learning applications, is seeking a Graduate Data Scientist to join their team. This is an excellent opportunity to launch your career in a dynamic and forward-thinking environment.
About the Company:
Our client is a cutting-edge AI solutions provider that develops intelligent automation systems for industries such as finance, healthcare, and cybersecurity. Their proprietary AI models optimize business processes, enhance decision-making, and drive efficiency across various sectors.
Key Responsibilities:
1. Develop and implement machine learning models using Python and its associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
2. Analyze complex datasets to extract valuable insights and drive data-driven decision-making.
3. Collaborate with cross-functional teams to integrate AI models into real-world applications.
4. Optimize algorithms for performance and scalability.
5. Communicate findings and recommendations through data visualizations and reports.
Requirements:
1. Bachelor’s or Master’s degree in Data Science, Data Engineering, Computer Science, or a related field.
2. Proficiency in Python and key data science libraries.
3. Strong analytical and problem-solving skills.
4. Familiarity with machine learning techniques, data preprocessing, and statistical analysis.
5. Excellent communication skills and ability to work in a team-oriented environment.
Desirable Skills:
1. Experience with cloud computing platforms (AWS, Azure, or GCP).
2. Knowledge of big data technologies (Spark, Hadoop).
3. Understanding of deep learning frameworks.
4. Exposure to real-world AI applications or research projects.
What’s on Offer?
1. A collaborative and innovative work environment.
2. Exposure to industry-leading AI projects.
3. Ongoing professional development and career growth opportunities.
4. Competitive salary and benefits package.
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