As a Junior AI Engineer / Data Scientist at Effektify, you will engage in a hands-on role within a small AI team, focusing on building AI and machine learning capabilities. You’ll be involved in developing data pipelines, refining models, and creating AI features that leverage connected data to enhance decision-making. Key skills required include proficiency in Python and SQL, familiarity with ML frameworks like PyTorch or TensorFlow, and a solid understanding of statistics and machine learning fundamentals. Effektify offers a collaborative work culture, a chance to work with diverse datasets, and opportunities for rapid learning and development.
Description
Lund / Halmstad · Hybrid · Data/Engineering
At Effektify, we help companies make better marketing decisions by turning complex data into clear insights and useful actions. We are now looking for a Junior AI Engineer / Data Scientist to join our AI team and help build the next generation of AI and ML capabilities in the platform.
This is a junior, hands-on role across AI Engineering and Data Science. You will join a small AI team and work closely with Max, our AI Lead, Martin, our CTO, and other developers and technical colleagues across the broader tech team.
You will work across the full AI stack — from data pipelines, analysis, and model experimentation to product-facing AI features and agent-based workflows. The role is broad by design and gives you the chance to build practical experience across both engineering and data science in a real product environment.
You will not be expected to have done everything before. What matters most is that you have a strong foundation, enjoy solving problems, and are excited to learn by building.
Your work will include a mix of:
In the first phase, your work may include areas such as:
Recommendation features based on connected performance data
Help build functionality that uses campaign, conversion, sales, and business data to surface clearer recommendations on what to prioritise, investigate, or act on next.
Detection of shifts, anomalies, and performance drivers
Support work on models and logic that help the platform identify meaningful changes, rank what matters most, and explain why performance is moving.
Agent-based workflows for insight automation
Contribute to systems that combine platform data, AI models, and product logic to automate parts of the insight work and help users move faster from data to action.
You will join a small AI team and be part of a broader tech organisation, which means short paths, broad scope, and close collaboration across product and engineering.
A large part of the broader tech team is based in Halmstad (our HQ), while Max is based in Lund. For that reason, Halmstad and Lund are especially relevant locations for this role. At the same time, we are flexible around remote and hybrid setup.
At Effektify, we value clear thinking, low prestige, and useful discussions. We care about quality, progress, and building things that hold up in practice. This is a good environment if you are curious, forward-leaning, and motivated by learning fast in a team where ideas are shared openly and responsibility grows quickly.
Effektify is a profitable scale-up with 50+ employees and 400+ customers. Since 2021, we have grown from a small founding team into a multi-office company with strong momentum, a working product, and a lot of room to shape what comes next.
At Effektify, we help companies understand what drives marketing performance and what to do next.
Our platform brings together data from sources such as Google, Meta, LinkedIn, TikTok, analytics tools, Shopify, WooCommerce, and financial systems. That creates a rich data environment across spend, traffic, conversion, revenue, and business performance.
For you, that means access to large and varied datasets, connected across several domains, and a chance to work on technically demanding problems with clear business relevance. It also means building product features where improvements can quickly reach customers and make a visible difference.
For questions, feel free to email martin.lundin@effektify.com.
Barnhusgatan 16
111 23 Stockholm
Nässjögatan 14,
302 47 Halmstad
Framgången 1
553 18 Jönköping
Köpenicker Chaussee 4
10317 Berlin
Kungsportsavenyen 37
411 36 Göteborg