LLM Jobs in Nicosia.
All active LLM roles based in Nicosia.
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Job Overview
We are seeking a marketing analytics professional with a focus on data quality and AI-driven automation to improve marketing measurement, reporting, and decision-making. This role combines marketing analysis, data operations, and applied AI to ensure trusted, consistent data across multiple sources and to automate dashboards, attribution insights, and scalable analytical workflows.
Reports to
- Team Lead of Data & Marketing Technology
What will you do?
- Analyze marketing channels performance and deliver actionable recommendations
- Build and automate KPI reporting
- Support and automate experiment measurement (A/B, incrementality, creative testing)
- Design AI-powered automations for reporting, insight generation, anomaly detection, and campaign recommendations
- Own marketing/attribution data quality across sources (AppsFlyer + ad platforms), including validation and tracking troubleshooting
- Develop and maintain predictive models
- Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation.
- Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented
What are we looking for?
- STEM education
- Strong foundation in marketing analytics: attribution, funnels, cohort/retention, LTV, ROAS/CAC, experimentation
- Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
- Familiarity with mobile attribution/measurement platforms (e.g., AppsFlyer) and multi-source marketing data integration
- Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)
What additional skills will help you stand out?
- Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
- Experience with SKAdNetwork and privacy-safe attribution
- Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
- Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation
Work mode
- Hybrid (2-3 days of work from the office)
- This role is eligible for relocation & immigration support
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
- 21 days annual leave (additional days based on years of service: up to 25 days)
- Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
- Sick Leave (10 days top-up to statutory allowance per year)
- Maternity Leave (18 weeks top-up to statutory allowance per case)
- Career development and education opportunities within the company
- English Language courses fully covered by the company upon Manager’s approval
- Premium Private Health Care
- Mental well-being program (iFeel)
- Onsite gym and spa
- Free parking close to the Nicosia offices, based on availability
- Free drinks-equipped kitchen in every floor building
- Hellenic Bank benefits (if applicable)
- Employee discounts (e.g. restaurants, bars, etc.)
- Personal Gaming Account
- Onsite canteen with subsidized prices for food and drinks
- Company events, Social Clubs
- Seniority Awards
- Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.
Ready to apply?
Apply to Wargaming
Job Overview
We are seeking a marketing analytics professional with a focus on data quality and AI-driven automation to improve marketing measurement, reporting, and decision-making. This role combines marketing analysis, data operations, and applied AI to ensure trusted, consistent data across multiple sources and to automate dashboards, attribution insights, and scalable analytical workflows.
Reports to
- Team Lead of Data & Marketing Technology
What will you do?
- Analyze marketing channels performance and deliver actionable recommendations
- Build and automate KPI reporting
- Support and automate experiment measurement (A/B, incrementality, creative testing)
- Design AI-powered automations for reporting, insight generation, anomaly detection, and campaign recommendations
- Own marketing/attribution data quality across sources (AppsFlyer + ad platforms), including validation and tracking troubleshooting
- Develop and maintain predictive models
- Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation.
- Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented
What are we looking for?
- STEM education
- Strong foundation in marketing analytics: attribution, funnels, cohort/retention, LTV, ROAS/CAC, experimentation
- Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
- Familiarity with mobile attribution/measurement platforms (e.g., AppsFlyer) and multi-source marketing data integration
- Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)
What additional skills will help you stand out?
- Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
- Experience with SKAdNetwork and privacy-safe attribution
- Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
- Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation
Work mode
- Hybrid (2-3 days of work from the office)
- This role is eligible for relocation & immigration support.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:
- Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
- Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
- Sick Leave Compensation, Maternity Leave Benefits
- Premium Private Health Insurance
- Career development and education opportunities within the company
- English clubs and platform for learning languages
- Mental well-being program (iFeel)
- Commuting allowance
- Company events
- FitPass membership
- Discounts for employees
- Personal Gaming Account
- Coffee, fruits, and snacks in the office
- On-site canteen with subsidized prices for food and drinks
- Seniority Awards
- Referral program - you can recommend the best talents to the Company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.
Ready to apply?
Apply to Wargaming
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
We're hiring mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment.Responsibilities
- Collaborate with engineers, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Strong academic background in a STEM field
- 2+ years of experience in Data Science or Machine Learning for mid-level; 5+ years for senior roles
- Strong foundation in probability & statistics
Nice to have
- Experience with geospatial data or routing (particularly relevant for the Mapping team)
- Background in operations research or combinatorial optimization (particularly relevant for the Matching and Pricing teams)
- Experience deploying real-time or latency-sensitive ML systems
What we Offer
- Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
- Salary: £90,000 – £110,000
- Employee stock options plan
- Private medical and dental insurance
- Life and critical illness cover
- Latest-generation MacBook Pro and 4k display
- Monthly credit towards Wheely journeys
- Cycle to Work scheme
- Professional development stipend
- Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
Ready to apply?
Apply to Wheely
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About the Role
We're hiring mid-level and senior Data Scientists / ML Engineers. You will own the entire process: from ideation and research through to production deployment.Responsibilities
- Collaborate with engineers, designers, and product managers to solve ambiguous problems
- Research, prototype, and ship ML models into production
- Continuously improve existing algorithms and identify opportunities for new ones
Requirements
- Strong academic background in a STEM field
- 2+ years of experience in Data Science or Machine Learning for mid-level; 5+ years for senior roles
- Strong foundation in probability & statistics
Nice to have
- Experience with geospatial data or routing (particularly relevant for the Mapping team)
- Background in operations research or combinatorial optimization (particularly relevant for the Matching and Pricing teams)
- Experience deploying real-time or latency-sensitive ML systems
What we Offer
- Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
- Competitive salary
- Employee stock options plan
- Private medical and dental insurance
- Daily Lunch allowance
- Latest-generation MacBook Pro and 4k display
- Professional development stipend
- Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice
Ready to apply?
Apply to Wheely