senior mechanical engineer

senior planning engineer

senior architect

data scientist

senior civil engineer

senior scientist

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 <br/>
 <br/>
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 <br/>
 <br/>
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 <br/>
 <br/>
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
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 <br/>
 <strong>
  In This Role, You'll Help The Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Co-develop production-level data science projects with our customers
  </li>
  <li>
   Analyse and investigate various kinds of data and machine learning applications across industries and use cases
  </li>
  <li>
   Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
  </li>
  <li>
   Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
  </li>
  <li>
   Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You might be a good fit for the role if you have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   English - fluent, Arabics - fluent/native will be a big plus
  </li>
  <li>
   Curiosity and a desire to learn new topics and skills
  </li>
  <li>
   Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
  </li>
  <li>
   The ability to clearly explain complex topics to technical as well as non-technical audiences
  </li>
  <li>
   2 - 10 years of experience with Python and SQL
  </li>
  <li>
   2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
  </li>
  <li>
   Familiarity with data visualisation in Python and R
  </li>
  <li>
   Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills That May Help You In The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Consulting and/or Customer-facing Data Science roles
  </li>
  <li>
   Experience with Data Engineering or MLOps
  </li>
  <li>
   Experience developing WebApps in JavaScript, RShiny, or Dash
  </li>
  <li>
   Experience building APIs
  </li>
  <li>
   Experience using enterprise data science tools
  </li>
  <li>
   Passion for teaching or public speaking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What are you waiting for!
  <br/>
  <br/>
 </strong>
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 <br/>
 <br/>
 <em>
  Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 </em>
 reasonable-accommodations@dataiku.com
 <br/>
 <br/>
 <strong>
  Protect yourself from fraudulent recruitment activity
  <br/>
  <br/>
 </strong>
 <em>
  Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
  <br/>
  <br/>
 </em>
</div>


Senior Data Scientist

Tamara

<div><p><b>About Us</b></p>
<p>
Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p>
<p>
Tamara is Saudi Arabia&rsquo;s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p>
<p>
We are seeking a highly analytical and technically proficient <b>Credit Risk Data Analyst</b> to support our Portfolio Oversight team. In this role, you will be responsible for managing the health and performance of the credit portfolio. You will not only build the &quot;Single Source of Truth&quot; for risk data but also translate complex datasets into actionable strategies for underwriting, limit management, and loss forecasting.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li>Develop Portfolio Monitoring reports for internal and external communications</li>
<li>Design and optimize data-driven credit strategies, including underwriting criteria, credit limit assignments, risk-based pricing &amp; merchant risk strategy</li>
<li>Conduct deep-dive analysis on risk exposure versus profitability to identify opportunities for product expansion or de-risking.</li>
<li>Develop and track Early Warning Indicators to detect abnormal risk trends and shifts in macroeconomic conditions</li>
<li>Conduct rigorous A/B testing to verify hypotheses and evaluate the impact of strategy changes on portfolio profitability and delinquency</li>
<li>Assess business operations &amp; market trends to enhance competitive positioning</li>
<li>Build and optimize automated data pipelines to enhance the efficiency and scalability of risk monitoring</li>
<li>Perform continuous system analysis to identify data inconsistencies and drive initiatives that elevate data governance standards</li>
<li>Partner with Cross-functional teams (Data Science, Data, Finance, Product, Technology teams) to ensure credit risk data is correctly accounted in reporting</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Requirements</b></h3>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (Statistics, Data Science, Math, Quantitative Finance, or Related fields).</li>
<li>3+ years of post qualification experience handling analytics and/or credit risk.</li>
<li>Strong analytical skills &amp; experience in data management</li>
<li>Prior Experience in Retail/SME Banking, Fintech, or Credit Ratings is a plus</li>
<li>Familiarity with the end-to-end credit life cycle, including anti-fraud, collections, merchant health and post-loan management</li>
<li>Proficiency in SQL, Excel (Advanced/VBA), PPT, Tableau &amp; Python(optional)</li>
</ul><ul><li>Exceptional attention to detail with the ability to identify data anomalies quickly.</li>
<li>Effective communication skills to present technical insights to non-technical business partners</li>
<li>Ability to navigate ambiguity, develop testable hypothesis &amp; drive actionable insights</li></ul></div>

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div><div><div>
Data Science</div></div></div><div><div>
Permanent</div></div><div><div>
Dubai</div></div><div><div><div>
<p>
We are looking for a Data Scientist to join the Business Analytics team at Spotify. You will work with the Regional Analytics Lead to evaluate and influence our growth strategy in Middle East &amp; Africa exciting and diverse landscape.</p>
<p>
You will collaborate with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.</p>
<p>
The Business Analytics team is part of Spotify&rsquo;s core business strategy organization. You&rsquo;ll play a crucial role in the growth and direction of Spotify as we grow to 760M+ users around the globe.</p>
<p>
At your fingertips, you&rsquo;ll have access to all the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio (and video)!</p>
</div></div></div></div><div><div><p>
What You'll Do
</p><ul><div><ul><li>Develop data driven strategies to drive the growth of Spotify users and subscribers</li>
<li>Identify new user growth levers in the SAMEA region and use experimentation to help drive that growth</li>
<li>Create and communicate impactful recommendations and models that improve our product offering, user messaging, and channel optimization</li>
<li>Build scalable data pipelines and dashboards to facilitate business performance tracking</li>
<li>Work closely with business partners to understand the change they are driving and help them discover new opportunities for growth</li>
<li>Design and implement comprehensive tests, making sure that we track all relevant metrics and that we&rsquo;re learning at every step along the way</li>
<li>Present your findings to senior collaborators, influencing the course of our business</li>
</ul>
</div></ul></div></div><div><div><p>Who You Are</p><ul><div>
<ul>
<li>You have a least 2+ years of professional experience synthesizing insights from data using tools such as Python/R, SQL</li>
<li>Experience with distributed systems and cloud data platforms (BigQuery or GCP) is a plus</li>
<li>Experience with AI tools (LLMs and coding assistants) is a plus</li>
<li>Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data</li>
<li>Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations</li>
<li>Have a background in Economics, Computer Science, Statistics, Engineering or a relevant field</li>
<li>Comfortable working on a globally distributed team (with occasional international travel)</li>
<li>Relevant experience in a consumer tech/product company is a plus</li>
</ul>
</div></ul></div></div><div><div><p>Where You'll Be
</p><ul><ul><li>This role will be based at Spotify&rsquo;s office in Dubai</li>
<li>We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home</li>
</ul></ul></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Scientist

The Cigna Group

<div><p><b>Data Science Senior Analyst</b></p><p><b>
Job Objective</b></p><p>
We are seeking a data-driven and analytically minded professional to join the Data Science and AI Engineering team within International Health, Cigna Healthcare. Our team designs and delivers high-impact descriptive and predictive analytics and agentic AI solutions to address complex challenges across global and local healthcare markets.</p><p>
This role is primarily focused on the UAE, with occasional regional coverage across the Middle East. It delivers advanced data analytics and agentic AI-enabled solutions across healthcare domains &ndash; including provider services, clinical operations, healthcare network, and payment integrity &ndash; to generate insights that are clinically relevant, operationally actionable, and aligned with value-based care outcomes. In close partnership with peers across the Technology organization, the role is accountable for development and deployment of agentic AI and machine-learning systems, ensuring adherence to data privacy, data residency, and ethical AI standard.</p><p>
This is an opportunity for a strong data scientist professional to demonstrate deep technical expertise and business acumen by translating complex data into actionable insights and scalable data products that drive measurable value for health insurance stakeholders.</p><p><b>
Job Responsibilities</b></p><ul><li>
Partner with Product Owners and domain stakeholders to understand business and provider-related challenges, and recommend appropriate analytical approaches</li><li>
Support the design and implementation of predictive and prescriptive analytics, including models that inform provider engagement strategies, optimize healthcare networks, improve care delivery outcomes, and strength payment integrity</li><li>
Operate effectively within an agile operating model, collaborating in cross-functional squads, contributing to sprint planning, backlog refinement, and iterative delivery of analytics and data products</li><li>
Contribute to the responsible application of Agentic AI by designing, building, and maintaining domain‑aligned knowledge bases that enable Retrieval‑Augmented Generation (RAG), agent‑assisted analytics, and high‑quality, explainable insight generation.</li><li>
Design, curate, and maintain high-quality provider datasets by identifying and managing critical data elements (CDEs), ensuring data completeness, accuracy, consistency, and fitness for advanced analytics and AI-driven use cases</li><li>
Track, quantify, and communicate the business value and impact generated by deployed analytics and AI-enabled data products</li><li>
Work with Data Engineering and Cloud Engineering teams to stay aligned on data ingestion, enrichment, and availability, leveraging both first- and third-party healthcare and provider data</li><li>
Collaborate with Data Governance and AI Governance teams to ensure compliance with UAE data protection and AI governance requirements, including data privacy, data residency, and responsible AI principles, drawing on hands‑on experience delivering analytics or AI solutions in regulated environments</li></ul><p><b>
Requirements</b></p><ul><li>
Tertiary education in Data Science, Statistics, Computer Science, Engineering, or related disciplines</li><li>
Knowledge of International Classification of Diseases (ICD) and its application within healthcare and health insurance analytics</li><li>
Hands-on experience with Python for data analysis and modeling</li><li>
Experience working with SQL and NoSQL databases</li><li>
Experience in cloud-based data and analytics platforms, preferably Amazon Web Services (AWS) and Databricks, including services such as SageMaker, Athena, or equivalent</li><li>
Good understanding of Foundation Models, including their capabilities, limitations, risk considerations, and appropriate enterprise usage patterns</li><li>
Hands-on experience with prompt engineering and agent engineering, supporting analytics workflows, RAG-based solutions, insight generation, or decision-support use cases</li><li>
Solid knowledge of UAE AI governance and data protection frameworks, with practical experience applying responsible AI principles such as data governance, transparency, risk management, and human‑in‑the‑loop oversight, across analytics or AI initiatives</li><li>
Strong communication skills in English, with the ability to translate analytical and AI-driven insights into clear, business-relevant narratives; additional languages are an advantage</li></ul><p></p><p><b>
About Cigna Healthcare</b></p><p></p>
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.<p></p><p><i>
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.</i></p><p></p><p><i>
If</i><i> you require reasonable accommodation in completing the online application process, please email: </i><i>SeeYourselfEMEA@cigna.com</i><i> for support. Do not email </i><i>SeeYourselfEMEA@cigna.com</i><i> for an update on your application or to provide your resume as you will not receive a response.</i></p></div>

Data Scientist Senior Analyst

Alcazar Energy

<div><p>Thank you for your interest in joining Alcazar Energy! Each role at our company offers the chance to make a tangible impact on the global shift towards sustainable energy. As you consider applying, reflect on how your unique skills, passion, and vision align with our mission to innovate and energize the world responsibly.</p><p><b>
Biodiversity &amp; Ecology Studies, Critical Habitat and Species Assessments</b></p><ul><li><p>
Conduct environmental screening assessments of potential investment opportunities at origination stage</p></li><li><p>
Lead biodiversity sections of the E&amp;S due diligence assessments, coordinating internal and third-party assessments by E&amp;S consultants at early development stage</p></li><li><p>
Support in the interface with Lenders E&amp;S teams and Lenders E&amp;S advisor</p></li><li><p>
Lead and coordinate biodiversity, avifauna, and bat baseline studies for projects in the portfolio</p></li><li><p>
Manage and review vantage point, acoustic, and seasonal survey programs</p></li><li><p>
Support collision risk assessments (CRA) and migratory corridor assessments</p></li><li><p>
Support Critical Habitat Assessments and protected area screening in line with IFC PS6, EBRD ES6 and EIB Standards</p></li><li><p>
Review biodiversity and ornithology inputs to ESIA and related technical studies</p></li></ul><p><b>
Biodiversity Risk Management Across Project Planning &amp; Operations</b></p><ul><li><p>
Provide early environmental support with planning and relevant consent applications</p></li><li><p>
Integrate biodiversity, bird, and bat considerations into project siting, layout, and design</p></li><li><p>
Apply the mitigation hierarchy (avoid, minimize, restore, offset) to project impacts</p></li><li><p>
Develop and oversee species protection and mitigation measures, including turbine micro-siting, seasonal restrictions, and curtailment strategies</p></li><li><p>
Oversee and monitor environmental and biodiversity performance of Turbine Supplier, Balance of Plant (BoP) and/or EPC and O&amp;M contractor through site inspections, progress meetings, review of documentation, and performance indicators for Projects under construction and operation</p></li><li><p>
Work closely with internal (E&amp;S, technical, investments, contracts, legal) teams &amp; external stakeholders to identify and address biodiversity risks</p></li><li><p>
Support biodiversity risk management during construction and operation phases</p></li><li><p>
Communicate project requirements, environmental &amp; biodiversity procedures, and standards to relevant parties and oversee their implementation</p></li><li><p>
Provide technical guidance to contractors and O&amp;M teams on biodiversity requirements</p></li></ul><p><b>
Biodiversity Management Systems, Compliance, Monitoring &amp; Reporting</b></p><ul><li><p>
Support in the development and implementation of the corporate ESMS ensuring adequate cascading across all AE portfolio projects at all stages</p></li><li><p>
Oversee and support in the development of Project-specific ESMS to ensure alignment with ESIA, ESAP, Employer requirements, Investors and Lenders&rsquo; requirements</p></li><li><p>
Develop and oversee implementation of Biodiversity Management Plans (BMPs) and Biodiversity Action Plans (BAPs) across all assets as applicable</p></li><li><p>
Support lender and investor biodiversity due diligence, monitoring, and audits</p></li><li><p>
Prepare and implement Avifauna and Bat Management Plans, including post-construction monitoring, turbine shutdown programs, fatality searches, and adaptive management</p></li><li><p>
Support habitat restoration, enhancement, and biodiversity offset measures where required</p></li><li><p>
Monitor effectiveness of mitigation and offset measures and support adaptive management</p></li><li><p>
Coordinate with specialist consultants, regulators, and conservation stakeholders</p></li><li><p>
Maintain up to date knowledge of international, regional, and local environmental and biodiversity standards of best practice, industry trends, and regulatory requirements</p></li></ul><p><b>
Biodiversity Governance, Stakeholder Engagement &amp; Nature-Positive Initiatives</b></p><ul><li><p>
Integrate biodiversity requirements into corporate and project-level ESMS</p></li><li><p>
Prepare biodiversity inputs to lender, regulatory, and ESG reports</p></li><li><p>
Track biodiversity KPIs and monitor data across the portfolio</p></li><li><p>
Contribute to nature-related disclosures and internal biodiversity guidance</p></li><li><p>
Engage with regulators, conservation authorities, NGOs, and local stakeholders</p></li><li><p>
Identify and develop biodiversity enhancement, restoration, or offset initiatives</p></li><li><p>
Support nature-positive and net gain approaches where required</p></li><li><p>
Integrate biodiversity into sustainability and corporate responsibility initiatives</p></li><li><p>
Support internal awareness and capacity building on biodiversity and natural capital</p></li></ul><div></div><p><b><br>
Preferred Qualifications:</b></p><ul><li><p>
Degree in Ecology, Biodiversity, Environmental Science, Conservation Biology, or related field</p></li></ul><div></div><p><b><br>
Preferred Experience:</b></p><ul><li><p>
Minimum of 12 years&rsquo; experience in a similar role</p></li><li><p>
Previous experience with a Developer, an E&amp;S/biodiversity Consultancy, or development financial institution</p></li><li><p>
Practical experience in wind and solar PV utility scale infrastructure assets</p></li><li><p>
Previous experience on bird and bat surveys, collision risk assessments, mitigation and management planning</p></li><li><p>
Experience managing or coordinating external biodiversity/ornithology consultants</p></li><li><p>
Knowledge of biodiversity offsets, habitat restoration, and species management plans</p></li><li><p>
Extensive experience working with IFC Performance Standards on Environmental &amp; Social Sustainability and E&amp;S frameworks of development financial institutions and/or multilateral banks</p></li><li><p>
Previous experience in MENA, Northern Africa, Turkey, Eastern Europe or Central Asia regions is preferred</p></li></ul><div></div><p><b><br>
Job Specific Skills:</b></p><ul><li><p>
Proven ability to work in a team, self-motivated, with a collaborative and committed attitude and great capacity to influence others whilst being diplomatic</p></li><li><p>
Ability to communicate and present to all levels of the organisation and external stakeholders/parties</p></li><li><p>
Quality focused with a strive for excellence and demonstrated report writing skills</p></li><li><p>
Shares ideas and expertise proactively, provides feedback constructively, and demonstrates receptiveness to new thinking</p></li><li><p>
Strong sense of ethics and integrity</p></li><li><p>
Passionate about environmental and biodiversity protection and socio-economic development</p></li><li><p>
Have a profound understanding of business impact on society/ecosystems and vice versa through previous multi-disciplinary experience (e.g. NGO, government and corporate)</p></li><li><p>
Proficient in MS Outlook, Word, Excel, and PowerPoint</p></li><li><p>
Current valid driving license</p></li><li><p>
Other spoken languages (i.e. Arabic, French, Russian) are desirable</p></li></ul><div></div><p><b><br>
Additional Information:</b></p><ul><li><p>
This list of responsibilities is not exhaustive, and the employee may be required to perform duties outside of those mentioned as operationally required and at the discretion of the Line Manager</p></li><li><p>
Employee will be required to travel to Project and Company locations on a regular basis</p></li></ul><p>
We appreciate your time in considering a career with Alcazar Energy. By joining our team, you&rsquo;re choosing to stand at the forefront of the renewable energy industry, contributing to projects that prioritize integrity, quality, and sustainability. As you share our commitment to making a difference, we look forward to potentially welcoming you aboard.</p></div>

Biodiversity Lead Expert

Ezra

<div><p><b>Predictive Analyst</b></p><br>
<p></p>
<p><b>
Location:</b> Dubai, United Arab Emirates or Nairobi, Kenya</p>
<p><b>
Reports to:</b> Director of Prediction &amp; Data</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
About the role:</b></h3>
<p>
We are seeking an experienced Data / Decision Scientist<b> </b>to join our team. As a <b>Predictive Analyst</b>, you will be working with and enhancing our prediction pipelines code base, to enable prediction at scale across our many jurisdictions and within EZRA's array of credit products (term and revolving), and to drive new and existing business performance - specifically focused on balancing revenue and bad debt, i.e. net revenue optimisation.</p>
<p>
You will be responsible for designing and developing tools to enable fast model development, conducting experiments, and developing data-driven solutions to solve complex problems.</p>
<p>
The ideal candidate should have strong analytical and problem-solving skills, in addition to high proficiency in <b>Python </b>and <b>SQL</b>, with experience in developing machine learning systems utilizing software engineering principles.</p>
<p>
Previous experience in <b>fintech</b>, specifically <b>credit decisioning</b> systems, <b>airtime credit services </b>or <b>mobile money lending</b> leveraging alternate data is further advantageous.</p><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Key responsibilities:</b></h3>
<ul><li><b>Data Strategy &amp; Preparation:</b> Review and identify key datasets from partners to develop robust ML models. Collect, preprocess, and analyze large, complex datasets to ensure data integrity.</li>
<li><b>Feature Engineering:</b> Define features and perform advanced clustering, feature reduction, and selection techniques.</li>
<li><b>Model Development:</b> Build predictive models to improve partner and product performance, developing specific &quot;Ezra Prediction&quot; modules in Python for automated ML systems.</li>
<li><b>Experimental Design:</b> Design and conduct experiments (A/B testing) to validate models and hypotheses, enhancing overall market understanding.</li>
<li><b>Deployment &amp; Collaboration:</b> Partner with cross-functional teams to implement and deploy machine learning solutions into production environments.</li>
<li><b>Insight Communication:</b> Translate complex findings into actionable insights for both technical and non-technical stakeholders through reports and visualizations.</li>
<li><b>Optimization:</b> Continuously monitor and iterate on model performance, prediction systems, and underlying algorithms.</li></ul><br>
<p></p>
<h3 class="jobSectionHeader"><b>
Essential Qualifications and Experience:</b></h3>
<ul><li><b>Education: </b>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.</li>
<li><b>Professional Experience:</b> 5+ years of experience in a Data / Decision Science or Machine Learning Engineering role with a proven track record.</li>
<li><b>Technical Proficiency:</b></li>
<li><ul><li>Expert-level Python programming skills.</li>
<li>Advanced SQL skills (Postgres, Redshift, or similar).</li>
<li>Deep understanding of data structures (lists, dictionaries, arrays, data frames).</li>
<li>Data visualization / analysis / statistical inference.</li>
</ul></li><li><b>Core Competencies:</b> Strong analytical and problem-solving skills, with the ability to work effectively both independently and within a team.</li>
<li><b>Communication:</b> Exceptional story-telling and presentation skills, specifically the ability to bridge the gap between technical complexity and business logic.</li>
</ul><h3 class="jobSectionHeader"><b>Beneficial Qualifications and Experience:</b></h3>
<ul><li><b>MLOps &amp; Production:</b> Experience operationalizing ML models into production with measurable impact on product and financial optimization.</li>
<li><b>DevOps Tools:</b> Proficiency with Source Control Management (Git/Bitbucket) and CI/CD pipelines (e.g., Jenkins).</li>
<li><b>Architecture:</b> Understanding of Feature Store architecture and implementation.</li>
<li><b>Environment:</b> Experience working in Linux OS variants (Debian) and comfort utilizing the command line.</li>
<li><b>Agility:</b> Ability to balance &quot;start-up&quot; stage project work with the development of long-term scalable ML modules.</li>
<li><b>Language Skills:</b> Proficiency in <b>French</b> is beneficial to support operations across various jurisdictions.</li>
</ul><h3 class="jobSectionHeader"><b>The Ideal Candidate:</b></h3>
<ul><li><b>Innovation-Driven:</b> Passionate about deploying customer-centric products that exceed quality and delivery expectations.</li>
<li><b>Growth Mindset:</b> Proud of their work but driven by continuous improvement; able to self-critique and accept constructive feedback.</li>
<li><b>Detail-Oriented:</b> High attention to detail with a commitment to process, procedure, and documentation as pillars of excellence.</li>
<li><b>Adaptable:</b> Comfortable stepping outside of their comfort zone to learn new tasks and technologies.</li>
</ul><h3 class="jobSectionHeader"><b>Company overview:</b></h3>
<p>
Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE.</p>
<p>
Our flagship products are Airtime Credit Services (ACS), Nano and BNPL.</p>
<ul>
<li>ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit.</li>
<li>Nano is a micro cash advance offered to mobile wallet users on demand.</li>
<li>BNPL facilitates payment installments for products and services</li></ul><br>
<p></p>
<p>
As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing.</p><br>
<p></p>
<p>
Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure.</p><br>
<p></p>
<p>
But it doesn't end there. We're exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.</p></div>

Predictive Analyst

Revolut

<div><b>About Revolut</b><p></p><p>
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 75+ million customers get more from their money every day.</p><p>
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.</p><p></p><b>
About the Internship Programme</b><p></p><p>
Our Internship Programme is designed for ambitious students who want to make their summer count. Over 8&ndash;10 paid weeks, you&rsquo;ll work on real projects, tackle meaningful challenges, and develop your skills alongside industry experts. It&rsquo;s an opportunity to learn, innovate, and build a solid foundation for your career.</p><p>
Top performers may be offered a place on our Graduate Programme the following year, giving you the opportunity to return and continue your journey at Revolut.</p><p></p><b>
About the role</b><p></p><p>
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering scalable solutions that move the business forward.</p><p>
We&rsquo;re looking for Data Scientist and Analyst Interns who believe no data task is too complex. You&rsquo;ll dig into databases, uncover root causes, design smart solutions, and write the code to bring them to life.</p><p>
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.</p><p></p><b>
Join us from anywhere</b><p></p><p>
The Internship Programme is open to international applicants ready to relocate to one of our tech hubs in Poland, Portugal, the UAE, or the UK. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply). You&rsquo;ll be expected to spend around 3 days per week in the office (where role and location allow).</p><p></p><b>
Key dates</b><p></p><ul><li>
Applications: open from May 2026</li><li>
Recruitment process: July&ndash;December 2026</li><li>
Programme start: June / July 2027</li></ul><p></p><p><br>
Roles are filled on a rolling basis &mdash; apply early.</p><p></p><b>
What you'll be doing</b><p></p><ul><li>
Taking part in a hands-on bootcamp and working on real projects across multiple teams</li><li>
Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches</li><li>
Improving visibility in user sign-up flows and operational funnels</li><li>
Enhancing and maintaining data infrastructure (including ETLs and LookML) to keep data accessible and reliable</li><li>
Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights</li><li>
Supporting decision-making with ad-hoc analysis (e.g., interest rate sensitivity, incentive profitability, conversion rates)</li><li>
Learning from industry leaders and staying aligned with team priorities through weekly meetings</li><li>
Managing tasks, tracking progress, and communicating key outcomes</li><li>
Sharing updates with our global teams</li><li>
Receiving regular feedback to guide your development</li></ul><p></p><b>
What you'll need</b><p></p><ul><li>
To be in your penultimate year of a bachelor&rsquo;s or master&rsquo;s degree in computer science, maths, physics, or a similar field (graduating in 2028)</li><li>
Impressive Python and SQL skills</li><li>
An interest or experience in analytics engineering, product analytics, data science, or ML engineering</li><li>
A solid foundation in maths and statistics</li><li>
A proactive, results-driven mindset</li><li>
Fluency in English</li><li>
Great communication, organisational, and problem-solving skills</li><li>
To be comfortable working in a fast-paced, diverse team environment</li><li>
Full-time availability for summer 2027</li><li>
The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)</li></ul><p></p><b>
Compensation range</b><p></p><ul><li>
Krakow: PLN7,600 - PLN7,600 gross monthly*</li><li>
Poland: PLN7,600 - PLN7,600 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul><p></p><p><i>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.</i></p><p><b><i>
Important notice for candidates:</i></b></p><p><i>
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.</i></p><ul><li><b><i>Only apply through official Revolut channels.</i></b><i> We don&rsquo;t use any third-party services or platforms for our recruitment.</i></li><li><b><i>Always double-check the emails you receive.</i></b><i> Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</i></li></ul><p><b><i>
We won't ask for payment or personal financial information during the hiring process.</i></b><i> If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.</i></p><p><i>
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's </i><i>Candidate Privacy Notice</i></p></div>

Internship Programme 2027: Data Scientist and Analyst

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Internship Programme 2027: Data Scientist and Analyst