Data Scientist

Alpha Leap AB; Göteborgs kommun; On-site; SEK 600,000 - 800,000; Full time

Job summary

Alpha Leap AB in Göteborg is seeking a Data Scientist who thrives in a collaborative and innovative environment. You will work directly with clients, applying AI and machine learning to tackle real-world problems while taking ownership of projects and contributing to the company culture.

The ideal candidate has strong Python and SQL skills, is comfortable with messy datasets, and values clear communication. Join us to help shape the future of our growing company.

Qualifications

• Strong experience applying AI/ML in real-world scenarios.
• Solid Python skills for data, modeling, and experimentation.
• Adept at handling messy datasets and using SQL.
• Good understanding of statistical methods and trade-offs.
• Experience in stakeholder engagement and communication.
• Ability to explain complex topics simply.

Responsibilities

• Work directly with clients to solve complex business problems.
• Iterate between technical work and clear communication.
• Take ownership of projects and processes.
• Help shape the company culture and operations.

Skills

AI/ML application to real-world problems

Strong Python skills

SQL and messy datasets

Intuition for statistics

Stakeholder communication

Simplifying complex concepts

Job description

What you can expect from us

Alpha Leap is a small, employee‑owned AI studio.

We’re not a traditional consultancy and not a big corporate machine. We’re building products, new ventures, and meaningful AI solutions together with ambitious companies — and we’re building the company itself at the same time.

Here, you won’t be "a resource on a project".

You’ll:

• become a co‑owner of the company

• shape how we work, not just what we build

• work directly with clients and real problems (no middle layers)

• have real autonomy and trust from day one

• influence culture, processes, and decisions

• grow fast – technically, professionally, and personally

We care deeply about:
kindness, curiosity, craft, and ownership.

Small team = big impact.
Your voice actually matters here.

What we expect from you

You’re not just a Data Scientist. You’re a builder.

You enjoy moving between:

• messy business problems

• sharp technical work

• and clear communication

You like thinking with clients, not just delivering to them.

You’re comfortable figuring things out when there’s no playbook yet – and you probably get a bit bored when everything is already defined.

Most importantly:
You take responsibility like it’s your own company.

Because here, it is.

What you’ll likely bring

(We care more about mindset and experience than checkboxes – but this is the kind of background that usually works well.)

• Strong experience applying AI/ML to real‑world problems

• Solid Python skills (data, modeling, experimentation)

• Comfortable working with messy datasets and SQL

• Good intuition for statistics and modeling trade‑offs

• Experience talking to stakeholders or clients

• Ability to explain complex things simply

You’ve probably done this for several years already – but we care more about what you’ve built than exactly how long you’ve worked. Right now, we’re looking for senior people but this will change going forward.

Research shows women apply only when they meet 100% of the requirements. You do not need that. Apply or get in touch with us anyway.

What makes someone thrive here

You might be a great fit if you:

• take ownership without waiting for instructions

• think in systems, not just tasks

• enjoy collaborating closely with others

• communicate clearly and kindly

• care about craft and quality

• stay curious and keep learning

• want to help build a company, not just join one

What this is not

Alpha Leap is still early.

We don’t have:

• rigid structures

• fixed career ladders

• predefined roles

• layers of management

If you prefer clear instructions and predictable paths, this might feel frustrating.

If you get excited about shaping things from the ground up – you’ll probably love it.