At a Glance
- Tasks: Dive into advanced customer analytics and decision science from the comfort of your home.
- Company: Join Airswift, a global leader in workforce solutions for energy and infrastructure.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Be part of a dynamic team with unmatched global reach and career advancement.
- Why this job: Make a real impact with data-driven insights that shape business decisions.
- Qualifications: Experience in data science, Python, SQL, and machine learning is essential.
The predicted salary is between 63000 - 77000 £ per year.
This opportunity offers the chance to contribute to advanced customer analytics and decision science work within a remote environment. The role focuses on Databricks, Python, SQL, production machine learning, experimentation, optimisation, customer intelligence, incrementality, and value measurement. This position will support the design, development, and operationalisation of analytical solutions that drive measurable commercial insight and decision-making.
Required Experience:
- Hands-on experience in decision science, customer intelligence, incrementality, value measurement, or related analytical disciplines
- Experience working with high-volume customer, campaign, transaction, payment, loyalty, and margin datasets
- Proven experience developing and operationalising production data science and machine learning solutions
- Experience with experimentation, causal analysis, uplift modelling, reconciliation, and analytical audit trails
- Experience building scheduled analytical pipelines and supporting controlled production changes
Required Skills:
- Advanced Python for production data science, machine learning, statistical analysis, matching, weighting, cohort analysis, feature processing, model training, and inference
- Advanced SQL for campaign, customer, transaction, and measurement data analysis
- Strong Databricks experience including notebooks, modules, jobs, workflows, Delta tables, Unity Catalog data, model registry, and production scoring
- Hands‑on Spark or PySpark capability for analytical pipelines and large-scale data processing
- Git and Azure DevOps including branching, pull requests, code review, testing, and controlled deployments
- Strong production ML practices including reusable code, configuration, versioning, monitoring, logging, validation, and operational handover
- Strong data validation, reconciliation, and reproducibility practices
Preferred Qualifications:
- Databricks Apps, Streamlit, Dash, or React for analytical decision-support interfaces
- MLflow, model registry, and Databricks Asset Bundle experience
- Familiarity with CRM activation platforms and campaign data such as SFMC or Comarch
- Experience in marketing mix, recommender systems, or operations research
- Loyalty economics, retail fuel, convenience, or CRM domain experience
- Power BI or certified reporting-layer experience
- Experience with Delta MERGE, idempotency, and incremental processing
- Exposure to BNA or customer decisioning environments
Data Scientist employer: Airswift
As a Senior IT Project Manager in London, you will join a dynamic and innovative team dedicated to driving large-scale digital transformation initiatives. Our company fosters a collaborative work culture that values employee growth, offering opportunities for professional development and advancement within the technology sector. With a focus on meaningful project delivery and a supportive environment, we ensure our employees thrive while making a significant impact on business-critical projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Airswift before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Airswift.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Airswift.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Airswift, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Airswift, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Airswift’s attention and show the tangible impact of your work.
How to prepare for a job interview at Airswift
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Airswift.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Airswift.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Airswift.
