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<div>
 
 
 Data Scientist &ndash; Healthcare
 
 
 
 
 
 
 
 The Opportunity
 
 
 
 My client is hiring a commercially minded
 
 Data Scientist
 
 to drive insight-led decision-making across a global healthcare events portfolio. Reporting to the Marketing Director, this newly created role will play a key role in unlocking growth across audiences, exhibitors, and revenue.
 
 
 You&rsquo;ll turn complex data into clear, actionable insights that inform marketing, commercial, and product strategy &mdash; helping the business move faster and smarter.
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 5+ years&rsquo; experience as a Data Scientist or Senior Analyst (marketing, SaaS, or events experience preferred)
 </li>
 <li>
 Strong expertise in data modelling, predictive analytics, segmentation, and growth analytics
 </li>
 <li>
 Proficient in
 
 Python, SQL, Power BI
 
 (or similar tools)
 </li>
 <li>
 Experience working with
 
 CRM and marketing automation data
 
 </li>
 <li>
 Commercially focused, with the ability to link insights to revenue and growth
 </li>
 <li>
 Confident communicator who can influence non-technical stakeholders
 </li>
 <li>
 Curious, proactive, and driven by impact
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Translate marketing, audience, and exhibitor data into actionable strategic insights
 </li>
 <li>
 Identify growth opportunities through audience behaviour and segmentation analysis
 </li>
 <li>
 Build and measure growth loops across engagement, retention, and referrals
 </li>
 <li>
 Analyse campaign performance, attribution, and ROI to optimise spend
 </li>
 <li>
 Develop predictive models for attendance, leads, and exhibitor demand
 </li>
 <li>
 Design dashboards and reporting that support real-time decision-making
 </li>
 <li>
 Partner cross-functionally to embed insights into everyday business decisions
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ***
 
 
 
</div>

Data Scientist

Point72

<div><div><div>EXPERIENCE
<div>Early Career</div>
</div><div>LOCATION
<div>London | Hong Kong | Singapore | Dubai, UAE</div>
</div><div>FOCUS
<div>Systematic Investing</div>
</div><div>BUSINESS
<div>Cubist</div></div></div></div>
 <div><h3 class="jobSectionHeader">About Cubist</h3>

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.<h3 class="jobSectionHeader"> 
Role</h3>

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.<h3 class="jobSectionHeader"> 
Responsibilities</h3>
<ul><li>Conduct thorough data analysis under the mentorship of a senior quantitative researcher.</li><li>
Generate novel ideas for enhanced proprietary data products.</li><li>
Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.</li><li>
Transform firm approved raw datasets into robust features for our systematic models.</li><li>
Build analytical tools to supplement our shared research framework.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3>
<ul><li>BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.</li><li>
Programming in Python (or a comparable language) and working knowledge of SQL.</li><li>
Strong analytical and quantitative skills.</li><li>
Willingness to take ownership of their work.</li><li>
Ability to work both independently and collaboratively within a team.</li><li>
Strong desire to deliver high quality results in a timely fashion.
</li><li>High attention to detail.</li><li>
Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
</li><li>Commitment to the highest ethical standards.</li></ul></div>

Huspy

<div>
 
 The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
 
 
 
 Huspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.
 
 
 Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 
 
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.We&rsquo;re not slowing down.
 
 
 The question is: will you be part of what&rsquo;s next?
 
 
 
 The Main Event: What You&rsquo;ll Drive, Build, and Own
 
 
 
 <ul>
 <li>
 Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.
 </li>
 <li>
 Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.
 </li>
 <li>
 Data Analysis &amp; Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.
 </li>
 <li>
 Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).
 </li>
 <li>
 Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.
 
 
 </li>
 </ul>
 
 The Perfect Match: What It Takes to Succeed at Huspy
 
 
 
 <ul>
 <li>
 Proven Experience: 4&ndash;8 years in applied data science/ML, delivering models that move real-world KPIs.
 </li>
 <li>
 SQL &amp; Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.
 </li>
 <li>
 MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
 </li>
 <li>
 Communication &amp; Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.
 </li>
 <li>
 Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
 </li>
 <li>
 Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.
 </li>
 <li>
 Academic Background: Bachelor&rsquo;s in STEM (Master&rsquo;s a plus).
 </li>
 </ul>
</div>

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

High 5 Games

<div>We&rsquo;re looking for a Junior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly collaborative&mdash;you&rsquo;ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth.

The ideal candidate will have a quantitative background, a good understanding of statistics, logic; clean and effective communication skills, an understanding of python and a genuine interest in solving complex problems. A desire to learn quickly and iterate through difficult problems efficiently.

You&rsquo;ll thrive here if you combine quantitative curiosity, a problem-solving mindset, the ability to work in ambiguous, evolving contexts, and the determination to own projects end to end, from research to real-world impact. You will play a crucial role in scaling data science products that have a direct impact on the success of High 5 Games! 

What You&rsquo;ll Do
<ul>
<li>Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.</li>
</ul><ul><li>Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.</li>
</ul><ul><li>Develop reporting layers&mdash;dashboards, automated reports, and notifications&mdash;to deliver insights across teams.</li>
</ul><ul><li>Curate raw data into meaningful structures for CRM, product, and monetization teams.</li>
</ul><ul><li>Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.</li>
</ul><ul><li>Define and execute multivariate testing frameworks to optimize product and campaign performance.</li>
</ul><ul><li>Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.</li>
</ul><ul><li>Deeply understand and navigate the abstract mechanics of our ecosystem&mdash;game economies, monetization levers, RTPs, and more.</li> 
</ul>
Requirements
<ul>
<li>Degree in a quantitative field</li>
</ul><ul><li>Programming experience in a scripting language such as Python or R</li>
</ul><ul><li>Fundamental understanding of statistics and machine learning models</li>
</ul><ul><li>Knowledge of statistical testing, data visualization, and data mining</li>
</ul><ul><li>Proficiency in SQL</li>
</ul><ul><li>Strong problem-solving skills</li>
</ul><ul><li>Resilience against difficult tasks</li>
</ul><ul><li>Solid and effective English communication skills</li>
</ul><ul><li>Attention to detail</li> 
</ul>
Nice to have
<ul>
<li>Post Grad/Masters degree in a quantitative field or 1+ years of professional experience in a relevant field (technology/gaming/algorithms/research&hellip;)</li>
</ul><ul><li>Experience working with GCP tech stack</li>
</ul><ul><li>An understanding of database design and management</li>
</ul><ul><li>Experience in developing and applying machine learning algorithms to real problems</li></ul></div>

Senior Data Scientist

<div>We&rsquo;re looking for a Junior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly collaborative&mdash;you&rsquo;ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth.

The ideal candidate will have a quantitative background, a good understanding of statistics, logic; clean and effective communication skills, an understanding of python and a genuine interest in solving complex problems. A desire to learn quickly and iterate through difficult problems efficiently.

You&rsquo;ll thrive here if you combine quantitative curiosity, a problem-solving mindset, the ability to work in ambiguous, evolving contexts, and the determination to own projects end to end, from research to real-world impact. You will play a crucial role in scaling data science products that have a direct impact on the success of High 5 Games! 

What You&rsquo;ll Do
<ul>
<li>Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.</li>
</ul><ul><li>Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.</li>
</ul><ul><li>Develop reporting layers&mdash;dashboards, automated reports, and notifications&mdash;to deliver insights across teams.</li>
</ul><ul><li>Curate raw data into meaningful structures for CRM, product, and monetization teams.</li>
</ul><ul><li>Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.</li>
</ul><ul><li>Define and execute multivariate testing frameworks to optimize product and campaign performance.</li>
</ul><ul><li>Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.</li>
</ul><ul><li>Deeply understand and navigate the abstract mechanics of our ecosystem&mdash;game economies, monetization levers, RTPs, and more.</li> 
</ul>
Requirements
<ul>
<li>Degree in a quantitative field</li>
</ul><ul><li>Programming experience in a scripting language such as Python or R</li>
</ul><ul><li>Fundamental understanding of statistics and machine learning models</li>
</ul><ul><li>Knowledge of statistical testing, data visualization, and data mining</li>
</ul><ul><li>Proficiency in SQL</li>
</ul><ul><li>Strong problem-solving skills</li>
</ul><ul><li>Resilience against difficult tasks</li>
</ul><ul><li>Solid and effective English communication skills</li>
</ul><ul><li>Attention to detail</li> 
</ul>
Nice to have
<ul>
<li>Post Grad/Masters degree in a quantitative field or 1+ years of professional experience in a relevant field (technology/gaming/algorithms/research&hellip;)</li>
</ul><ul><li>Experience working with GCP tech stack</li>
</ul><ul><li>An understanding of database design and management</li>
</ul><ul><li>Experience in developing and applying machine learning algorithms to real problems</li></ul></div>

Junior Data Scientist

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