Safety Management Systems Trainer / Consultant

Baines Simmons
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Architect

Benefit Risk Management Center of Excellence Data Scientist

Corporate Complaints Data Analyst

Data Architect

EPMA Data Analyst

EPMA Data Analyst

Have you worked within an aviation Safety Management System (SMS) or have you implemented one within the aviation sector and therefore understand the elements and benefits of an SMS, and how it connects with an organisation? Do you want to pass on that valuable knowledge and experience to others in a consultant / trainer role?


If so, apply now, as Baines Simmons, leaders in aviation safety training and consultancy services are looking to grow their SMS team!


You will not only deliver training and consultancy services in your specialist area virtually or face to face, in house globally, or at our Bracknell based training Academy, but you will also be able to contribute and make a difference to Baines Simmons customers and our product offering.


You will mainly work remotely in the UK, and this role will also involve some national and international travel.


What we are looking for:


  • Experience working within an aviation Safety Management System (SMS) or experience implementing a SMS within the aviation sector and therefore a good understanding of the elements and benefits of an SMS, and how it connects with an organisation
  • SMS experience as above with a focus on safety management and risk mitigation
  • The ability to connect with a group, facilitate a discussion and lead clients to fully understand the regulatory requirements and latest safety thinking virtually, or face to face
  • An ability and willingness to travel nationally and internationally for the role
  • A passion for making the skies safer


Desirable:


  • Practical experience of Hazard Identification, Risk Assessment techniques, Occurrence Reporting, Safety Culture including Just Culture, and Safety Communications
  • Experience of training or consulting


Previous roles you may have had within the aviation sector could include:


  • Safety Manager
  • Safety Officer
  • Safety Analyst
  • Risk Manager
  • Safety Investigator
  • Compliance Monitoring Manager
  • Flight Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.