Lead Data Science (Bangkok based, Relocation provided, Visa Sponsorship Available)

Techwaka
Manchester, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Science Lead - Logistics

Ocado London, United Kingdom
Hybrid

Data Science Lead - Fulfilment

Ocado United Kingdom
Hybrid

Data Portfolio Lead

Multiverse London, United Kingdom
Hybrid
Posted
11 Feb 2026 (3 months ago)

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose – Bridging the World Through Travel

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.

We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Get to Know Our Team

The Data department, based in Bangkok, oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity

Please note - The role will be based in Bangkok.

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

In This Role, You’ll Get to

  • Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
  • Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
  • Work with developers and a variety of business owners to deliver daily results with the best quality.
  • Research discover and harness new ideas that can make a difference.

What You’ll Need To Succeed

  • 4+ years hands-on data science experience.
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
  • Can lead, work independently as well as play a key role in a team.
  • Good communication and interpersonal skills for working in a multicultural work environment.

It’s Great if You Have

  • PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
  • Experience in NLP, image processing and/or recommendation systems.
  • Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
  • Experience in data science for e-commerce and/or OTA.

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.