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🟒 Actively Hiring Β· Posted 24d ago ⏳ Closes in 67 days UK Corridor πŸ›‘οΈ UK Work Eligibility 🏒 Company - Private

Data Scientist (AI)

🏒 Air Apps β€’ πŸ“ Remote β€’ πŸ•’ Sep 14, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified UK Companies House registration standing active
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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match UK Work Eligibility

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Location Base
Remote
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP β‰ˆ $1.28 USD Living Standard
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Position Overview & Specifications

Air Apps is a fast-growing startup that is building innovative AI-powered apps that help people learn, communicate, and connect. Our flagship product is Hello AI, a revolutionary chatbot app that uses state-of-the-art natural language processing and machine learning algorithms to help users learn new languages, improve their writing skills, and have engaging conversations.


This position is fully Remote

We offer a fully remote, results driven work style, which we believe enhances productivity and quality, providing greater work-life balance. We also have great opportunities to connect within our international team through coffee calls, team meetings and hackathons.


Our Values

  • Customer-Centricity ‍‍‍: We are passionately devoted to our customers, prioritizing their needs and satisfaction in every decision we make. We strive for excellence by listening to their feedback and constantly improving our offerings.
  • Uncompromising Quality : We challenge industry norms and set new standards, always staying ahead of the curve. We are relentless in our pursuit of extraordinary products and processes, pushing ourselves to exceed expectations.
  • Shared Ownership : We embrace a culture of collective responsibility, where each team member contributes to our long-term goals. We empower one another to take initiative, rejecting the notion of "not my job" and fostering a sense of pride in our work.
  • Agility and Speed : We deliver results quickly and efficiently, outpacing our competitors with our adaptability and resourcefulness. Our dynamic approach keeps us ahead of the game and enables us to respond effectively to changing circumstances.
  • Radical Transparency : We foster an environment of open communication, honesty, and trust. We share the truth about our decisions, processes, and products, ensuring that everyone is informed and engaged. We believe in the power of transparency to prevent "big surprises" and create a more collaborative and innovative workplace.


Mission

At Air Apps, we intend to make people's lives easier by offering software solutions that allow people to perform their daily activities in work, social, fitness, and learning right from their mobile devices.


About The Role

We are seeking a talented Data Scientist to join our team and help us unlock insights from the vast amounts of data generated by the Hello AI app. As a Data Scientist at Air Apps, you will be working on cutting-edge technology that has the potential to change the way people learn and communicate.


Responsibilities:

  • Work with our product and engineering teams to identify opportunities to collect, analyze and act on data to improve the app's performance and user experience.
  • Build, maintain, and improve our data infrastructure to support data-driven decision making across the organization.
  • Develop predictive models and algorithms to analyze user behavior, engagement, and satisfaction, and identify patterns and trends that drive growth and retention.
  • Collaborate with our Machine Learning Engineers to design and evaluate experiments that test the efficacy of our algorithms and models.
  • Develop and maintain dashboards and reports that provide real-time insights into key performance indicators and metrics.
  • Stay up-to-date with the latest research and advancements in data science and machine learning to ensure that our models and algorithms are state-of-the-art.
  • Bachelor's or Master's degree in Computer Science, Statistics, Data Science or a related field.
  • 3+ years of experience in data science, machine learning or a related field.
  • Strong programming skills in Python and experience working with data analysis libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience with SQL and relational databases.
  • Experience with big data technologies such as Hadoop and Spark.
  • Familiarity with machine learning algorithms such as regression, decision trees, and clustering.
  • Experience with data visualization tools such as Tableau or PowerBI.
  • Strong analytical and problem-solving skills.
  • Strong communication and collaboration skills.


Teamwork

The job requires operating in small teams, in a highly dynamic and remote environment. Working remote means that you need to, at least, manage one person - yourself. You must be able to, including but not limited to:

  • Work effectively with multi-functional and international teams
  • Work highly collaborative, without any micro-management necessary
  • Use Slack and other remote communication/reporting tools
  • Implement and structure a remote working routine
  • Discipline and manage yourself
  • Communicate heavily about statuses and issues
  • Combine work and life in a healthy and productive flow
  • Juggle multiple projects at the same time
  • Work agile and fast, very fast
  • Receive and provide constructive feedback
  • Embrace changes
  • Find the needle in the haystack and solve problems methodically


Disclaime
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This position is fully REMOTE, no re-allocation or visa sponsorship is provided. You will be able to work from anywhere; however, you will be hired in your legal country of residency.

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

πŸ‡¬πŸ‡§ Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.

πŸ›οΈ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

βš–οΈ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Internet & Web Services

Recruitment Insights

Based on transatlantic hiring benchmarks for Data Scientist (AI) roles across Air Apps's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Internet & Web Services.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
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