At a Glance
- Tasks: Lead data science projects, develop AI models, and mentor junior team members.
- Company: Join Cirium, the leader in aviation analytics, transforming the industry with data-driven insights.
- Benefits: Generous holiday, health perks, wellbeing programs, and extensive learning resources.
- Other info: Dynamic team environment focused on collaboration, autonomy, and career growth.
- Why this job: Make a real impact in aviation analytics while driving AI adoption and innovation.
- Qualifications: Proven data science experience, strong Python and SQL skills, and a passion for AI.
The predicted salary is between 60000 - 80000 € per year.
The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. Effective communication with stakeholders is essential, ensuring that business requirements are clearly translated into technical solutions. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities.
Responsibilities
- Hands-On Development - Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach.
- Mentorship - Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices.
- Collaboration - Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium's strategy.
- Communication & Business Application - Communicate complex analytical concepts clearly to non-technical stakeholders, including senior leadership, focusing on business outcomes.
- AI Adoption - Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams.
- Leadership & Ownership - Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment.
Qualifications
- Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives.
- Excellent Python and SQL skills.
- Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production.
- Data engineering skills, with the ability to manipulate and process data at scale.
- Curiosity to explore and delve into emerging capabilities with a clear link to commercial value.
- Highly self-directed, capable of managing tasks, projects, and stakeholders independently.
- Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understanding of the Data Science & Machine Learning Lifecycles.
- Demonstrated track record of implementing and fine-tuning LLM/AI workflows.
- Strong competency leveraging Gen AI in your daily tasks to speed up efficiency.
- Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers.
- Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable.
About the business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation.
About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace.
Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
Senior Data Scientist employer: RELX Group
Cirium is an exceptional employer that prioritises employee wellbeing and professional growth, offering a generous holiday allowance, comprehensive health benefits, and extensive learning resources. Our collaborative work culture fosters innovation and agility, empowering employees to take ownership of projects while driving meaningful change in the aviation industry through advanced data science and AI solutions. Located in a dynamic environment, Cirium provides unique opportunities for mentorship and cross-departmental collaboration, making it an ideal place for those seeking a rewarding career in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Cirium on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Senior Data Scientist role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning algorithms. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data science concepts in simple terms. Remember, you'll need to engage with non-technical stakeholders, so make sure you can translate your expertise into business value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Cirium team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data science, especially focusing on how you've delivered commercial value. We want to see how your skills align with the role, so don’t hold back on showcasing your Python, SQL, and machine learning expertise!
Showcase Your Communication Skills:Since effective communication is key, use your application to demonstrate how you can explain complex concepts to non-technical stakeholders. We love seeing examples of how you've successfully communicated analytical insights in previous roles.
Highlight Collaboration Experience:This role involves working closely with various teams, so share examples of past collaborations. Whether it’s partnering with Product or Engineering teams, we want to know how you’ve contributed to scalable and reliable solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at RELX Group
✨Know Your Data Science Stuff
Make sure you brush up on your statistics, machine learning, and AI skills. Be ready to discuss specific projects where you've applied these skills, especially in a commercial setting. Prepare to explain how you've built analytics workflows and the impact they had on business outcomes.
✨Communicate Like a Pro
Since effective communication with stakeholders is key, practice explaining complex analytical concepts in simple terms. Think about how you can relate your technical solutions to business needs, and be prepared to share examples of how you've done this in the past.
✨Show Off Your Collaboration Skills
This role involves working closely with various teams, so be ready to talk about your experience collaborating with Product, Engineering, and Data teams. Highlight any instances where your teamwork led to successful project outcomes or innovative solutions.
✨Demonstrate Leadership and Initiative
As a Senior Data Scientist, you'll need to take ownership of projects. Share examples of when you've led initiatives, mentored junior team members, or driven changes through AI adoption. Show that you're self-directed and capable of managing tasks independently while keeping stakeholders engaged.
