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Senior Data Scientist

TN United Kingdom

Slinfold

On-site

GBP 50,000 - 90,000

Full time

3 days ago
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Job summary

An established industry player is seeking a skilled Data Scientist to lead AI-driven projects and mentor a dynamic team. This role is crucial in harnessing data assets and applying advanced machine learning techniques to integrate AI solutions into operations. The ideal candidate will have a strong background in Python, SQL, and leadership experience within AI or data science teams. Join a supportive and innovative workplace that values collaboration and personal growth, while driving impactful AI initiatives. This is a fantastic opportunity to shape the future of data science in a thriving environment.

Benefits

Team fun budget
Free LinkedIn Learning access
Charity events and volunteering opportunities
Modern office with onsite gym
Discretionary bonus
Private healthcare
Relocation support

Qualifications

  • Strong Python and SQL skills with experience in AI leadership.
  • Expertise in data engineering, big data processing, and ML Ops.

Responsibilities

  • Lead and mentor a team of AI specialists to drive innovation.
  • Design and deploy ML models to enhance business efficiency.

Skills

Python
SQL
Machine Learning
Data Engineering
NLP
Cloud AI Deployment

Tools

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
AWS
GCP
Azure

Job description

AJW Group is seeking an experienced Data Scientist to spearhead AI-driven innovation and data science initiatives within our newly formed Digital Innovation team. This role is pivotal in leveraging our extensive data assets, applying advanced machine learning techniques, and integrating AI solutions into our business operations. The ideal candidate will be both a hands-on data scientist and a strategic leader capable of mentoring a growing team and driving high-impact AI projects.

Key responsibilities include:

  1. Lead and mentor a team of AI specialists, fostering collaboration and growth.
  2. Develop and execute an AI strategy aligned with business objectives.
  3. Drive AI adoption through training, workshops, and stakeholder engagement.
  4. Design and deploy ML models to enhance efficiency across business functions.
  5. Leverage data to drive insights, automation, and process optimization.
  6. Oversee the full AI/ML lifecycle, from development to deployment and monitoring.
  7. Explore emerging AI technologies to strengthen capabilities.
  8. Identify AI opportunities with business analysts and define project goals.
  9. Integrate AI models into enterprise systems seamlessly.
  10. Develop reporting tools to measure AI impact.
  11. Ensure compliance with AI ethics, security, and company policies.
About you

Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL skills.

Experience in a leadership or mentorship role within AI or data science teams, with a background of Data Science prior to leadership roles.

Ability to communicate complex AI concepts to non-technical audiences.

Expertise in data engineering, big data processing, and ML Ops best practices.

Specialising in NLP, time-series forecasting, recommendation systems, or computer vision.

Hands-on experience with cloud AI deployment (AWS, GCP, or Azure).

Proven success in leading AI projects from concept to production.

We are AJW. We connect, supply, and deliver.

At AJW, we’re more than just a business—we’re a global team shaping the future of aviation. We connect, supply, and deliver to keep the world moving, and we invest in the people who make it happen. When you join us, you’ll be part of an innovative, supportive, and inclusive workplace where you can grow and thrive. Here’s what we offer:

  • A team fun budget to bring colleagues together.
  • Free access to LinkedIn Learning to support your development.
  • Opportunities to take part in charity events, volunteering, and community projects.
  • A modern office with an onsite gym, bike-to-work scheme, and a great restaurant.
  • A discretionary bonus and private healthcare.
  • Relocation support if you're moving closer to our HQ.

We encourage five days a week in the office to strengthen teamwork, collaboration, and development. However, we understand personal circumstances vary, and we support flexibility where needed. Some roles may require more in-office presence to meet business needs, but we’re committed to finding the right balance for our team.

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