What We Offer
At Analytika, we try to createopportunitiesfor both personal and professional growth

Significant influence over your own development and career path.
Opportunities to work with the industry's most exciting and forward-thinking clients.
Fast-track career development with the potential for partnership.
The chance to collaborate with some of the most experienced professionals in the insurance industry.
Opportunities to work with startups; your own ideas, as an investor or as a consultant.
Our Social Culture
At Analytika, we believe in fostering a strong andsupportive team culture.
Our social calendar includes:

Christmas party with partner
Monthly get-togethers and social activities.
Off-site gatherings.

ANALYTIKA VENTURES
Business development and investments are an integral part of Analytika's DNA
Having taken part in successes as well as failures, done passive, financial investments and funded own companies, Analytika has over the years increasingly focused on our own ideas and startups
We urge our people to bring forward business ideas, and we fund them if we belive in them!.
Development of advanced pricing models, machine learning, and artificial intelligence is the focus of leading insurance companies. Analytika is part of this journey by offering resources with the technical competence to solve these complex problems. We aim to become the leading consulting company in pricing and actuarial services. You will help our clients ensure profitability and growth by developing future pricing of insurance products using complex GLM/GAM and machine learning models. Your competence and engagement will help us continue to offer the best consultants to insurance companies for this purpose. You will have an independent role towards our clients while working with our skilled employees.
Qualifications
- A master's degree or equivalent in mathematics, statistics, computer science, or other relevant fields, preferably with actuarial competence and experience in pricing
- High competence in advanced analysis, statistical methods, and machine learning
- Good programming skills in R/Python. Knowledge of SQL/SAS is also positive
- Good academic results
Contact person
Are Flataker Viken, +47 950 44 440, are@analytika.no
Lars Aga Reisæter, +47 915 39 541, lars@analytika.no