Company Description
Trigma.AI is a data science platform that aims to revolutionize the framework of promotional measurement and sales impact assessment of marketing investment. Our platform enables customers to unlock growth opportunities through E2E AI driven measurement and optimization of promotional investment to drive market share growth and enhance revenue operations. By connecting marketing, finance, and publishers, we eliminate the need for endless alignment meetings on promotional budget allocation, sales targets, next best customer suggestion solution, digital asset modularization and the execution of omnichannel strategy through "Data Since and AI Symbiosis".
Our team is a diverse, outspoken group of creatives and critical thinkers, hyper-focused on driving change and growth. We embrace difference. We applaud non-traditional career paths. We're inspired by people who have made processes their own.
Role Description
This is a full-time Data Science Intern role with Trigma.AI. As a Data Science Intern, part of our Data & AI team, you will learn to manage, architect and analyse big data in order to build data driven business insights and high impact data models to generate significant business value. Data and AI covers a range of industries creates models and processes to collect, distil and interpret data with a view to aid better, more informed decision making. Examines and explores data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for our clients.
You will bring your big ideas, insatiable curiosity for technology and a passion for entrepreneurial disruption and go as far as your ambition takes you.
You will be responsible for performing data analysis, applying statistical techniques, and utilizing data science methodologies. You will work closely with the team to support the optimization of promotional investment and contribute to the development of product enhancement and specific project delivery requirements. This is a hybrid role with the availability for some remote work and client site traveling.
Qualifications
- Being enrolled in a MSc in Computer Science, Statistics, Mathematics, Operational Research, Econometrics or related science field from a well-established University
- Advanced level in using programming tools and platforms to manipulate datasets and perform data analysis
- Familiarity with Data Science scripting (in R / Python / Scala) and cloud technologies
- Ability to think strategically; turn consumer behaviour data into effective strategies and drive results
- Exceptional analytic and critical thinking skills, writing skills, communication skills, consulting skills, and ability to work within a team
- Ability to work in an environment with hard deadlines, quick turnaround, and changing priorities
- Fluency in English is required due to participation in multinational project teams
- Strong analytical skills
- Experience in statistics, data science, and data analytics
- Proficiency in data analysis and interpretation
- Ability to apply statistical techniques to derive insights
- Experience with data analysis tools and software
- Knowledge of machine learning algorithms and methodologies
- Excellent problem-solving and critical thinking abilities
- Strong communication and presentation skills
- Ability to work independently and in a team
- Experience with programming languages such as Python or R is a plus
- Enrollment in a relevant degree program or recent graduate in a related field
We work hard to make sure Life at Trigma.AI is rewarding, supportive and enjoyable for everyone.
Our benefits include
- Competitive salary, Health insurance, Retirement savings plan
- Professional development opportunities
- Freedom & flexibility: colleagues rate us highly for the flexibility and trust they receive and most of us balance time in the office with time working remotely.
- Career opportunity: the opportunity to develop your career with bespoke training and learning, mentoring platforms, and on-demand access to thousands of courses on LinkedIn Learning. When it’s time for the next step, we encourage and support internal job moves.
- Time out: 25 days annual leave, rising to 27 days after two years, plus a birthday leave day and the chance to work from (almost!) anywhere for up to four weeks a year.