Senior Data Scientist / Researcher (Client Relationships & Service)

At Exness, we are not just a leading trading broker—we’ve reimagined what it takes to be a leader. With 2,000+ people across 13 countries, we combine scale, care, and real tech to make trading better for over a million clients globally.

Recognised globally as a Best Place to Work, we’re a people-first company where long-term wins always matter more. As part of our team, you will shape the future of fintech with real technology, care, and purpose.

Why this role matters

Collect, process, and analyze data to generate actionable insights supporting data-driven decision-making across the Client Relationships & Service Division. The role involves identifying trends, uncovering patterns, causal Inference and creating visualizations or reports to communicate findings effectively to stakeholders, driving improvements in operations, strategy, and performance.

The role is based in our Limassol office, Cyprus. In case of relocation, we offer full relocation support for you and your family to make your move smooth and worry-free.

What you'll actually do

• To define/improve metrics representing the product’s performance and operations efficiency
• Collect data from multiple sources, ensuring its accuracy and completeness.
• Clean, organize, and transform raw data into usable formats for analysis.
• To search for inefficiencies and suggest solutions
• To assess solutions through backtesting, A/B testing and modeling
• To know well the data landscape and collaborate with Data Engineers to improve it

Who We’re Looking For

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 4+ years of hands-on experience in data science.
• Comprehensive understanding of mathematical statistics and probability theory.
• Proficiency in SQL and Python (pandas, visualization and ML packages).
• Expertise in machine learning and math modeling, enabling analysis and interpretation of data for informed decision-making.
• Strong proficiency in causal inference methods and a proven track record of A/B test design and result interpretation.
• Hands-on experience building ML models.

Nice to have:

• Experience with Spark
• Experience with Metabase and Grafana
• Experience working in Agile environments or collaborating with development teams

What We Offer Along The Way

• Competitive salary and annual performance bonus
• Full relocation support for you and your family — flights, housing, visas, and legal assistance included
• Top-tier health insurance with full family coverage — medical, dental, vision, mental health — plus life insurance for peace of mind
• Unlimited learning opportunities: external courses, English lessons, career and leadership development
• Education allowance covering school and kindergarten fees
• 21 working days of annual leave, plus public holidays and fully paid sick, maternity, and paternity leave
• Employee appreciation program: branded gifts, birthday day-offs, celebration budgets for weddings, newborns, and milestones
• “Get to know Team” trips — meet colleagues across our global hubs, along with company-wide offsites that raise the bar
• Employee share scheme — grow with us
• Branded MINI Cooper Countryman company car and private parking
• Free in-house sports clubs, Sanctum Club gym access, and jet skis
• Access to a Corporate doctor
• Exclusive discount program with cafes, gyms, and local services
• Expat tax perks: up to 50% income tax exemption
• Support with the naturalisation process for relocated employees

At Exness, we know that changing jobs - and changing countries - is a big step. That’s why relocation with Exness is different. We make it smooth, supported, and truly life-changing.

What Your Journey Looks Like

• TA interview (up to 30 minutes)
• English Assessment (30 minutes)
• Technical Interview (1 hour)
• Task Assessment (up to 5 days)
• Task Assessment discussion (30 mins)
• Behavioural interview (1 hour)

What It's Like Here

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Sounds like you? Apply.

Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.

At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.