Sertis is a leading Data and AI company based in the heart of Bangkok.

We provide both off-the-shelf and customised solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

About the job

The Data Science Team is comprised of Data Scientists and AI Researchers from around the world to solve real-world business decision problems using data. Within the Data Consulting team, you will closely work with other Data Scientists, Data Analysts, Data Engineers, and Client Solution Consultants.

Our Data Science Tech Lead will oversee and guide the data scientists to successfully deliver on team goals and work directly with clients to help them identify the right problems and then solve them through data science.

What are the responsibilities of a Data Science Tech Lead?
In this role, you will get to:

Manage, inspire, motivate and lead a team of exceptional data scientists
Set goals (individual and team), manage performance, and provide career coaching for mid and senior scientists to the point of promotion
Leverage your strong data science experience to provide technical guidance at a higher level to ensure the quality of delivery and technical excellence
Develop, facilitate and drive team and company-wide initiatives such as data science and software best practices, ways of working, and innovation initiatives
Work directly with internal and external (client) stakeholders, constantly challenging solutions to identify opportunities

Requirements for this role are:

Academic degree in mathematics, scientific, technical or other relevant field
Experience in leading a technical team, career coaching, goal setting, and giving positive and constructive feedback
Understand and experience of the full data science process from gathering client requirements through to model deployment monitoring and continuous improvement
Team first mentality and a servant leadership approach to coaching and managing
Being approachable, open, fun and all around awesome person!
Strong communication skills and stakeholder management

Who excels in this role?

Someone who loves getting things done!
Open-minded - eager to ask for comments/suggestions for improvement
Passionate for anything and everything data
Able to share and suggest ideas
Love doing tons of research
Have a can-do and will-do attitude!
Ready to tackle any challenges

What are some of the benefits of working at Sertis?

Hybrid working environment
Up early or a slow starter in the morning? We have flexible office hours
Mentorship programs for every level; from executive-level coaching to fresh grad
Learning support- to help you build your skillset and grow your career
Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
We cultivate intelligence and learning so that our experts can become community leaders in their respective fields in the tech industry
Amazing colleagues to enjoy company social outings, parties, and events
Result-oriented workplace; We provide direction, not orders, and give you the autonomy to deliver your best work
We work at the frontier of innovation in the AI industry
Work on meaningful solutions that solve and improve real-life problems and challenges
We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture