Data scientist

Are you a motivated and innovative person, interested in shaping advanced analytics, machine learning and AI solutions for one of the largest global insurers? Then this opportunity may be the right fit for you.

As a Senior Data Scientist, you will play a key role in transforming data into actionable insights, predictive models and AI-driven solutions that support strategic decision-making across Zurich.

Within the Zurich Customer Active Management (ZCAM) team, you will help unlock the value of customer, operational and financial data to improve business performance, enhance customer understanding and enable data-driven decision-making across the organization.

You will work on a broad portfolio of analytical initiatives, including customer intelligence, forecasting, machine learning applications and AI-driven business solutions. Typical use cases include KPI and financial forecasting, customer churn prediction, recommender systems, fraud detection and claims analytics.

By combining strong statistical and machine learning expertise with business understanding, you will help turn complex data into measurable business impact.

This role is based in
Ljubljana (Slovenia)
with a hybrid working model.

What You Will Do

• Develop and deploy statistical, machine learning and AI models to support strategic business objectives;
• Design and maintain forecasting solutions for key customer, operational and financial KPIs using time series and predictive modelling techniques;
• Build customer intelligence solutions, including customer segmentation, lifetime value estimation, retention and churn prediction;
• Apply machine learning techniques to fraud detection, claims analytics, risk assessment and related business use cases;
• Explore large and complex datasets to identify trends, patterns, risks and opportunities;
• Design and run experiments (for example A/B tests) to measure the impact of data-driven initiatives;
• Collaborate closely with business stakeholders to define use cases and communicate analytical findings in a clear and impactful way;
• Work alongside data engineering teams to ensure the availability of high-quality analytical datasets for modelling and analysis;
• Support deployment, monitoring and continuous improvement of machine learning models in production environments;
• Create clear visualizations and dashboards to support decision-making and storytelling with data;
• Contribute to the development of data science best practices, model governance standards and analytical methodologies at Zurich.

What You Bring

• 6+ years of experience in data science, advanced analytics and machine learning;
• University degree in Statistics, Mathematics, Computer Science, Engineering, Data Science or a related quantitative discipline (equivalent experience acceptable);
• Strong foundation in statistical modelling, predictive analytics and machine learning techniques (for example regression, tree-based methods, clustering, classification);
• Practical experience with forecasting methods, particularly time series modelling;
• Strong programming skills in Python and/or R, as well as SQL;
• Understanding of the machine learning lifecycle, including data preparation, validation, monitoring and performance evaluation;
• Experience working with large, complex datasets and data pipelines in a production or enterprise environment;
• Strong problem-solving skills with the ability to translate business problems into analytical solutions;
• Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences;
• Strong curiosity, business acumen and willingness to challenge assumptions through data-driven insights;
• Ability to work effectively in cross-functional, agile teams and manage multiple initiatives in parallel;
• Fluent written and spoken English.

Nice to have

• Exposure to large-scale data environments in cloud platforms, particularly Azure-based analytics ecosystems;
• Background in insurance, financial services or other customer-centric industries;
• Hands-on use of Databricks, Spark or similar distributed data processing frameworks;
• Familiarity with MLOps practices and model deployment frameworks for operationalizing machine learning solutions;
• Knowledge of responsible AI and model risk management practices (for example bias assessment, model documentation, explainability).

Additional Information
We look forward to receiving your online application.

Zurich supports flexible working arrangements and recognizes that talent comes in many forms. Please feel free to discuss any flexibility needs during the interview process.

At Zurich, we challenge the status quo and focus on what can go right. We are an equal opportunity employer that values diversity, individuality and collaboration.

Join us as we explore new ways to use data, analytics and AI to better understand and serve our customers.

Why Zurich
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great!

Join us as we constantly explore new ways to protect our customers and the planet.

• Location(s): SI - Ljubljana
• Remote working: Hybrid
• Schedule: Full Time
• Recruiter name: Vesna Pivk

Smo banka s srcem »startupa«, ki spreminja svet financ, saj združujemo najboljše iz obeh svetov – zanesljivost in inovativnost. Za nas je pomembno, da to, kar počnemo, delamo najbolje. Smo netipični bančniki in stremimo k novim vrednotam: osredotočeni smo na stranke, delujemo s podjetniško miselnostjo, vodimo z zgledom, sodelujemo in smo odgovorni. Pridružite se nam pri ustvarjanju sveta jasnega, preprostega in neposrednega bančništva.

Podatkovni analitik (m/ž)
Piši Nam, Če

• Si motiviran za razvoj kariere v finančnem sektorju in si pripravljen na izzive, ki jih prinašajo kreditni procesi.
• Rad delaš z različnimi bazami podatkov in te veseli delo na ''data driven decisions''.
• Uporabljaš sodobna analitična orodja (npr. Excel, SQL, Power BI ali podobna orodja) za podporo poslovnim odločitvam.
• Uživaš v povezovanju podatkov, poslovnih potreb in regulatornih zahtev v učinkovite in trajnostne rešitve.
• Želiš aktivno soustvarjati strategije upravljanja kreditnega portfelja ter s svojim delom neposredno vplivati na poslovne rezultate banke.
• Te navdušuje sodelovanje pri zagotavljanju pravilnega procesa odobravanja kreditov ter zagotavljanju okvira za ustrezne izterjave.
• Se zavedaš, da je pravilno in pravočasno poročanje ključ do uspeha.
• Si odličen komunikator in si želiš dinamičnega sodelovanja z različnimi sodelavci v organizaciji.
• Uživaš v podatkih in iz številk ustvariš zgodbe, ki razkrivajo, kako diha kreditni portfelj,
• Si po naravi natančen in radoveden ter dejstva preveriš s številkami.
• Rad spremljaš trende v kreditnem portfelju ter aktivno skrbiš za zdrave meje kreditnega tveganja,
• Z veseljem soustvarjaš kreditne politike in prisegaš na pristop »vedno iščemo boljši način«,
• Te razkrivanje prevar navdušuje in ti je izziv ustvarjati orodja, ki jih preprečujejo,
• Rad ostajaš na tekočem z zakonodajo in ti je implementacija novosti zanimiv del dela.

Si odkljukal vse zgornje pogoje? Odlično, preberi naprej in že si korak bliže prijavi!

• Želiš narediti preskok v karieri?
• Imaš dokončano višješolsko izobrazbo?
• Ti je blizu analitično razmišljanje?
• Te veseli delo v timu in imaš odlične organizacijske sposobnosti?
• Brez težav komuniciraš v angleškem jeziku?

Kaj ti Addiko bank nudi?

• Strukturirano uvajanje v novo delovno okolje (Buddy program, mentorski program ...),
• Fleksibilni delovni čas, za lažje usklajevanje dela in prostega časa,
• Hibridno delo (50 wfh / 50 wfo),
• Zaposlitev za nedoločen čas,
• Različna izobraževanja in delavnice za krepitev strokovnih kompetenc,
• Mnogo ugodnosti in aktivnosti (družinski dan, obisk Božička, sofinanciranje počitniških dejavnosti šoloobveznih otrok ...)
• Skrb za zdravje in dobro počutje naših zaposlenih (ura za duševno zdravje, ure zdravnika, sofinancirane športne prireditve ...)
• Dodaten dan dopusta za rojstni dan.
• ESG ukrepi (možnost izsposoja kolesa ali urbane, menjalnica oblačil, omejeno tiskanje papirja ...)
• Različne dogodke, kot so športne igre, pikniki, teambuildingi, novoletna zabava …
• In še …

Ponujamo delovno okolje, ki spodbuja inovativne rešitve in kulturo skupnosti, spoštuje povratne

informacije in neguje človeške odnose.

Addiko Bank d.d. je delodajalec, ki je zavezan enakim zaposlitvenim možnostim. Verjamemo v moč raznolikosti – zato smo ponosni podpisniki Listine raznolikosti. Združujemo zanesljivost in inovativnost ter gradimo okolje, kjer se vsak lahko počuti sprejetega. Kultura, kjer »mi« pomeni, da ima vsak svoj »jaz«, vsak »jaz« pa je del ekipe.

Misliš, da je to odlična karierna priložnost?
Prijavi se in priloži svoj življenjepis ter spremno pismo preko povezave:
Več o selekcijskem postopku si lahko ogledaš tukaj: https://addiko\-bank\-slo.talentlyft.com/\#home

Summary
LI-Hybrid

Location: Mengeš, Slovenia / Lokacija: Mengeš, Slovenia

Internal job title: Specialist za podatkovno znanost in UI (m/d/f) / Specialist Data Science & AI (m/d/f)

The Specialist Data Science & AI (m/d/f) will drive the adoption of Agentic and AI capabilities across site and global TechOps processes by building AI fluency, delivering scalable no‑code/low‑code solutions, and embedding AI‑enabled ways of working that generate measurable productivity and efficiency gains.

Kot Specialist za podatkovno znanost in UI (m/d/f) boste spodbujali uvedbo naprednih Agentic in AI zmogljivosti na lokaciji ter v globalnih procesih TechOps, z razvijanjem AI pismenosti, uvajanjem razširljivih rešitev brez ali z minimalnim programiranjem (no code/low code) ter vključevanjem načinov dela, podprtih z umetno inteligenco, ki prinašajo merljive izboljšave produktivnosti in učinkovitosti.

About The Role
Ključne odgovornosti

• Spodbujanje celostne uvedbe Agentic in AI zmogljivosti v lokalnih in globalnih procesih ter vključevanje načinov dela, podprtih z AI, v vsakodnevno poslovanje z namenom doseganja merljivih izboljšav produktivnosti.
• Razvijanje AI pismenosti v IT/OT in poslovnih ekipah, vzpostavljanje in vodenje skupnosti Agentic/AI ambasadorjev ter omogočanje praktičnega razvoja rešitev brez ali z minimalnim programiranjem.
• Vodenje identifikacije uporabnih primerov na osnovi pobud od spodaj navzgor, določanje prioritet skupaj z vodstvom lokacije ter nadzor nad implementacijo, razširjanjem in trajnostno uporabo rešitev Agentic in AI.
• Spodbujanje uporabe globalno razpoložljivih platform Agentic in AI ter nenehno posredovanje lokalnih zahtev, vrzeli in priložnosti za izboljšave v globalne produktne načrte.
• Vzpostavljanje jasnega upravljanja, spremljanje koristi in poročanje (vključno z vplivom na produktivnost in FTE) ter vzdrževanje večletnega načrta razvoja Agentic in AI.
• Sodelovanje z globalnimi ekipami DDIT Ops in DSAI za zagotavljanje pripravljenosti podatkov, platform, integracij in varnosti ter omogočanje samostojne uporabe podatkov (data self-service) na lokacijah.
• Vodenje upravljanja sprememb in kulturne preobrazbe, da zaposleni sprejmejo AI kot orodje za nadgradnjo dela in aktivno uporabljajo Agentic in AI rešitve pri vsakodnevnem delu.

Osnovne zahteve

• Najmanj 1 leti izkušenj na področju podatkovne znanosti in umetne inteligence ter močan interes (in radovednost) za razvoj AI rešitev.
• Praktične izkušnje z AI asistentom za podjetja, po možnosti Microsoft Copilot (M365 Copilot, Copilot Studio).
• Močno zanimanje za avtomatizacijo in robotiko.
• Dokazana sposobnost razvoja agentnih rešitev z uporabo no‑code/low‑code platform (npr. Power Platform, Copilot Studio), vključno z oblikovanjem promptov, delovnih tokov in osnovnih integracij.
• Praktično razumevanje orkestracije agentov, ponovljivih vzorcev in uvajanja rešitev v operativna okolja.
• Osnovno znanje podatkovne znanosti in analitike, vključno z definiranjem KPI-jev, opisno analizo, poznavanjem SQL in interpretacijo AI rezultatov.
• Odlične komunikacijske veščine, proaktiven pristop ter močna radovednost; sposobnost poglobljenega razumevanja poslovnih potreb in njihove pretvorbe v AI rešitve.

Zaželene izkušnje

• Poznavanje farmacevtskih procesov in industrije.
• Izkušnje s temelji upravljanja podatkov: sposobnost uporabe, združevanja in interpretacije podatkov iz poslovnih sistemov (npr. MES, ERP, LIMS) ter osnovno razumevanje kakovosti podatkov, dostopa in upravljanja podatkov.
• Izkušnje s programiranjem v Pythonu.
• Praktične izkušnje z avtomatizacijo in robotiko.

Ponujamo zaposlitev za določen čas 2 leti, s 6 mesečno poskusno dobo. Prijavo oddajte skupaj z življenjepisom v slovenščini in angleščini.

To delovno mesto se nahaja v Mengeš. Novartis za to vlogo ne nudi podpore pri relokaciji, zato se prijavite le, če vam je ta lokacija dostopna.

Ugodnosti in nagrajevanje
V podjetju Novartis smo zavezani k skupnemu preoblikovanju medicine – in nagrajevanju ljudi, ki to omogočajo.

Predviden letni osnovni bruto plačni razpon za to delovno mesto: 30.400 € do 45.600 €
Ponujena osnovna plača je določena na podlagi spolno nevtralnih meril, kot so ustrezna znanja, kompetence in izkušnje, v skladu s politiko določanja plač družbe Novartis. Po zaposlitvi v Novartisu se plača redno pregleduje.

Poleg osnovne plače ste lahko upravičeni tudi do bonusa na podlagi uspešnosti, odvisno od izpolnjevanja določenih kazalnikov uspešnosti.

Prednosti članstva v naši ekipi segajo daleč preko osnovne plače in spodbud. Ponujamo tudi vrsto konkurenčnih ugodnosti, ki podpirajo vaše osebno in poklicno dobro počutje, kot so zavarovalni načrti, pokojninski programi, viri za dobro počutje ter globalni programi priznanj.

Poleg tega, kjer je to mogoče, omogočamo prilagodljive in hibridne oblike dela ter najmanj 14 tednov plačanega starševskega dopusta.

Predani smo raznolikosti in vključenosti:
Novartis si prizadeva ustvariti izjemno, vključujoče delovno okolje in oblikovanje raznolikih timov, saj ti predstavljajo naše bolnike in skupnosti, ki jih oskrbujemo.

Zakaj Novartis:
Pomagati bolnikom in njihovim družinam zahteva več kot le inovativno znanost. Potrebna je skupnost zavzetih ljudi, kot ste vi. V Novartisu cenimo sodelovanje, podporo in navdihovanje drug drugega za razvoj prebojnih terapij, ki spreminjajo življenja pacientov. Ste pripravljeni ustvariti svetlejšo prihodnost skupaj z nami? https://www.novartis.com/about/strategy/people\-and\-cultureopment opportunities

Key Responsibilities

• Drive end to end adoption of Agentic & AI capabilities across site and global Processes, embedding AI enabled ways of working into daily operations to deliver measurable productivity gains.
• Build AI fluency across IT/OT and business teams, establish and lead Agentic/AI champions, and enable hands on development of no code / low code agentic solutions.
• Lead bottom up use case identification, prioritize high value opportunities with site leadership, and oversee delivery, scaling, and sustained adoption of Agentic & AI solutions.
• Drive adoption of globally available Agentic & AI platforms, while continuously feeding site requirements, gaps, and enhancement opportunities into global product backlogs.
• Establish clear governance, benefits tracking, and reporting, including productivity and FTE impact, and maintain a forward looking multi year Agentic & AI roadmap.
• Partner with Global DDIT Ops and DSAI teams to ensure data, platform, integration, and security readiness, and to enable data self service capabilities for sites.
• Lead change management and cultural adoption, ensuring employees embrace AI as an augmentation tool and actively use Agentic & AI solutions in their daily work.

Essential Requirements

• 1+ years experience in Data Science and AI, with strong interest and curiosity in AI development
• Hands on experience with enterprise AI assistant, preferably Microsoft Copilot (M365 Copilot, Copilot Studio).
• Strong interest in automation and robotics.
• Proven ability to build agentic solutions using no code / low code platforms (e.g. Power Platform, Copilot Studio), including prompts, workflows, and basic integrations.
• Practical understanding of agent orchestration, reusable patterns, and scaling agents in operational environments.
• Basic data science & analytics skills, including KPI definition, descriptive analysis, SQL knowledge, and interpretation of AI outputs.
• Excellent communication skills, can do attitude and strong curios approach, ability to dive deep and understand business needs and translate them into AI solutions

Desirable Requirements

• Knowledge of the pharmaceutical process and industry is highly desirable
• Experience with data fundamentals: ability to consume, combine, and interpret data from enterprise systems (e.g. MES, ERP, LIMS); basic understanding of data quality, access, and governance.
• Python programming experience.
• Hands on experience with automation and robotics.

Please note
this is a 2 years fixed term contract with 6 months probation period
. Submit your application with the CV in Slovenian and English language.

This role is based in Mengeš. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

Benefits & Rewards
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role: € 30,400 to € 45,600
The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture

Benefits and Rewards:
Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

The Team The Growth team is focused on maximising the potential of all titles Outfit7 ships. It brings together user acquisition, creative strategy, ASO, data, and product collaboration under one roof, with full-funnel accountability for the games in its portfolio. We operate across all lifecycle stages, from R&D and prototype validation through to global scale, across a range of mobile game formats. As our Distribution Analytics Lead, you'll build and develop a high-impact team that turns complex marketing and distribution data into smarter, faster decisions. From supporting a paid user acquisition strategy to incrementality testing, you'll define how Outfit7 measures, learns, and scales across every distribution channel, and you'll grow the people who make it happen.

In this role you will

• Build, lead, and grow a team of analysts and data scientists supporting Marketing, Growth, and Distribution.
• Set the Distribution Analytics roadmap and priorities, focusing the team on work with the highest impact on profit growth and channel performance.
• Partner closely with Product and leadership to translate business goals into analytical initiatives, and influence strategic decisions with data.
• Own and continuously improve measurement frameworks for paid user acquisition, including LTV, ROAS, predictive payback, and bidding inputs.
• Drive the adoption of advanced measurement methods such as incrementality testing, geo experiments, and Marketing Mix Modeling.
• Champion organic growth analytics, including measurement of store performance and the interplay between paid and organic.
• Establish experimentation standards across A/B and quasi-experimental designs, statistical guardrails, and clear decision frameworks.
• Set technical standards for the team, including clean and scalable data pipelines, reproducible analyses, and well documented internal tools.
• Represent Distribution Analytics in cross-functional forums, communicate findings to senior leadership, and challenge outdated practices.
• Stay close to industry trends in mobile gaming, performance marketing, and measurement, and bring relevant best practices into the team.

What we’re looking for

• Leadership skills: you've hired, developed, and retained talent in data analytics.
• Strong strategic thinking with the ability to connect analytical work to commercial outcomes and prioritize accordingly.
• Strong SQL skills and advanced proficiency in Python or R for statistical analysis, modeling and visualization.
• Deep understanding of mobile app economics, LTV and ROAS modeling, attribution, and channel performance measurement.
• Hands-on in designing and running incrementality tests, geo experiments, and/or MMM.
• Proven ability to structure ambiguous problems, run thorough analyses, and turn results into clear, actionable recommendations.
• Excellent stakeholder management, you partner with non-technical leaders in Marketing and Growth
• Excellent communication and presentation skills, fluent in English (written and spoken).
• Excellent attention to detail and a continuous improvement mindset.
• A positive, proactive, lead-by-example attitude.

Your experience

• 7+ years of experience in analytics or data science roles, with at least 2 years leading a team (hiring, coaching, and developing analysts or data scientists)
• Track record supporting Distribution: Paid User Acquisition, Performance Marketing, or Growth teams, ideally in mobile games or a comparable consumer app or digital business.
• Experience with modern data stack tools, such as DBT and cloud data warehouses (e.g., BigQuery, Snowflake), and BI tools.
• Experience with ASO analytics and the interaction between paid and organic growth is a strong plus.

What we offer

• Employment relationship with Ekipa2 d.o.o. for an indefinite period of time, with a six-month probationary period.
• Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
• Participation in attractive projects.
• Development opportunities through training, seminars, and conferences.
• Choice of sport, fitness, educational, and entertainment activities outside of work.
• Healthy meals in the office.
• Flexible working hours.
• 24 days of paid vacation.
• Participation in a discretionary bonus plan.
• Christmas bonus (subject to internal company policies).

Compensation

Initial salary for the position will be shared prior to the first interview.

Povzetek delovnega mesta:

Senior Lead Marketing Data Scientist / Marketinški podatkovni analitik IV., vodja ekipe

Zahtevane so izkušnje iz področja podatkovne znanosti, idealno v performance marketingu, mobilnih igrah ali sorodnih področjih. Sklenitev delovnega razmerja nudimo za nedoločen delovni čas s šestmesečnim poskusnim delom v podjetju Ekipa2 d.o.o., s sedežem v Ljubljani. Rok za prijavo: 30.8.2026.