Vacancies

ROLES

Job Title: Data Scientist / AI Developer
No. of Positions: 01
Job Type: Permanent
Salary Per Annum: £30,900 – £35,900
Job Reference No: Al/120/8JDS

Job Overview:
We are seeking a highly motivated Data Scientist / AI Developer to join our team in Essex. The successful candidate will work on developing and implementing AI-driven models, including machine learning algorithms, deep learning architectures, and data processing workflows. This role will involve collaboration with cross-functional teams to extract insights from large datasets, develop AI solutions, and deploy machine learning systems to improve business outcomes. Proficiency in Python, TensorFlow, PyTorch, and familiarity with cloud services like AWS and Azure is essential. Strong analytical skills, a commitment to high-quality results, and a passion for AI technologies are key attributes for this role. This is an exciting opportunity to work on cutting-edge AI projects and make a tangible impact.

Responsibilities:

  • Develop, train, and implement machine learning models and AI systems to address business needs.
  • Assist in the collection, processing, and analysis of large datasets to derive actionable insights.
  • Collaborate with cross-functional teams to understand requirements and deliver AI solutions.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop deep learning architectures (e.g., neural networks, CNNs, RNNs) using frameworks like TensorFlow and PyTorch.
  • Build and deploy AI applications and services using cloud platforms like AWS and Azure.
  • Create data visualizations and dashboards to effectively communicate findings and model outcomes to both technical and non-technical stakeholders.
  • Participate in model testing, validation, and optimization to improve performance.
  • Ensure data quality and consistency through validation processes and quality checks.
  • Maintain and improve the accuracy, integrity, and security of data within AI systems.
  • Document methodologies, processes, and model outcomes to ensure reproducibility.
  • Stay up-to-date with emerging AI tools, technologies, and best practices to continuously improve AI capabilities.
  • Support the preparation of technical reports, presentations, and documentation for internal and external stakeholders.
  • Oversee data management processes, including data storage, retrieval, and integration.
  • Collaborate with data engineers to optimize data pipelines and storage systems.
  • Ensure compliance with data governance policies and regulations.
  • May require occasional travel to other office locations or attendance at industry conferences or training sessions.

Qualifications:

  • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
  • Strong understanding of AI concepts, machine learning, and deep learning frameworks.
  • Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Keras).
  • Familiarity with machine learning models, including supervised, unsupervised, and reinforcement learning.
  • Experience with version control systems such as GitHub.
  • Knowledge of cloud services like AWS (EC2, S3, RDS) and Azure (VMs, Blob Storage, SQL Database).
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Experience in deploying AI/ML models and services to production environments.
  • Strong proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills, able to work with both technical and non-technical teams.
  • Detail-oriented with a commitment to high-quality results.
  • Ability to work independently as well as part of a team.
  • Familiarity with RESTful APIs and integration of AI models into applications.
  • Eagerness to learn and adapt to new AI technologies and methodologies.

Note: The role may require occasional travel to other office locations and attendance at industry conferences or training sessions.