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analytical data scientist

Naffco

<div><h4 class="jobSectionHeader">Job Summary</h4>
We are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.<h4 class="jobSectionHeader">
Key Responsibilities:</h4><ul><li>
Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.</li><li>
Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.</li><li>
Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.</li><li>
Ensure data integrity, consistency, and high performance across analytics solutions.</li><li>
Collaborate with business units to understand reporting needs and translate them into technical solutions.</li><li>
Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.</li><li>
Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.</li></ul><h4 class="jobSectionHeader">
Qualifications &amp; Experience:</h4><ul><li>
BTech / BSc in Computer Science, MCA, or equivalent technical qualification.</li><li>
2&ndash;5 years of proven experience in data analytics, modeling, and dashboard development.</li><li>
Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.</li><li>
Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.</li><li>
Ability to work independently as well as collaboratively in a dynamic, fast-paced environment.</li></ul></div>

Data Scientist

Smyrooms, a brand of Grupo Viajes El Corte Inglés

<div>
 
 Smyrooms is part of Viajes El Corte Ingl&eacute;s Group, one of the biggest conglomerate of Spain offering hotels in over 120 countries for our clients.
 
 
 
 
 
 Our company was founded with the aim of supplying the many brands of the group as well as all of our customers with our travel inventory at competitive prices.
 
 
 
 
 
 We are one of the youngest brands in the group, and tha makes us dynamic, energetic and technologically savvy. We are not just a beddank.
 
 
 
 
 
 Data is part of our DNA, our phylosophy is data, driven solutions. Currently we are searching a
 
 Data Scientist
 
 , specialized in Travel Sector for our headoffices in Dubai (United Arab Emirates).
 
 
 
 
 
 Salary range for this role: AED 160,000 - 180,000 AED per annum.
 
 
 
 
 
 
 
 Job characteristics:
 
 
 
 
 
 
 <ul>
 <li>
 Support the Pricing and Distribution area to optimize the revenue and product segmentation, to stay as competitive (and reachable) as possible in a multi-connected environment.
 </li>
 <li>
 Responsible for analyzing commercial data to identify trends, patterns and opportunities for business growth.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business objectives, identify opportunities and implement solutions to optimize commercial operations.
 </li>
 <li>
 Strong communicator with strong analytical abilities, capable of translating complex data into actionable insights and effectively communicating high-level business updates as well as granular data analysis.
 </li>
 <li>
 Developing growth strategies and providing strategic insights to drive business success.
 </li>
 <li>
 Provide the Leadership team with recurring and ad-hoc data analysis and comprehensive reporting, as well as generate momentum, global ownership and overall support to speed up the team&rsquo;s action plan.
 </li>
 <li>
 Support and manage the enhancement of business processes and proactively identify opportunities to increase customer success.
 </li>
 <li>
 Provide support to key commercial functions through rigorous and deep analysis that facilitates understanding root causes &amp; actions to be taken. Identify best practices, share and reapply across the organization.
 </li>
 <li>
 Follow up on the opportunities and tasks generated by or towards the commercial teams.
 </li>
 <li>
 Develop presentations with conceptual and/or quantitative analysis that facilitate top management decision making.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Strong Analytical, numerical, communication and presentation skills to be able to interpret, summarize and present complex data sets from multiple sources in a simple and comprehensive way.
 </li>
 <li>
 Effectively manage communication at senior level.
 </li>
 <li>
 Be able to report KPIs and performance metrics in a structured manner as well as develop analytical models to facilitate decision making.
 </li>
 <li>
 Detail oriented and organized, with the ability to manage multiple projects simultaneously.
 </li>
 <li>
 Strong interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
 </li>
 <li>
 Experience working in a fast-paced dynamic environment with challenging deadlines and competing priorities.
 </li>
 <li>
 Methodical and organized mindset with the ability to think critically and develop innovative solutions to business challenges.
 </li>
 <li>
 Visual/Analytical aid tools (Tableau, Looker Studio, Excel and PowerPoint knowledge).
 </li>
 <li>
 Database management skills through the use of programming languages (SQL/Python).
 </li>
 <li>
 Proactive and autonomous approach to working with critical thinking, collaboration &amp; creativity.
 </li>
 <li>
 Languages: English (Spanish as a enabler).
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, economics, data analytics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are interested on this possition, do not hesitate to apply. You will feel at home.
 
 
</div>

SilentEight

<div>At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We&rsquo;re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 
 
 
As a Data Scientist, you will own the end-to-end development of data solutions &mdash; from understanding business problems to deploying and maintaining models in production. You&rsquo;ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.<h4 class="jobSectionHeader">
Responsibilities</h4><ul><li>
Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.</li><li>
Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.</li><li>
Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.</li><li>
Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.</li><li>
Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.</li><li>
Analyze large-scale structured and unstructured datasets to extract insights and power model development.</li><li>
Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.</li><li>
Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.</li><li>
Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.</li><li>
Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.</li></ul><h4 class="jobSectionHeader">
Requirements</h4><ul><li> 
Based in the United Arab Emirates (remote-first team; flexible working environment).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.</li><li>
Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.</li><li>
Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).</li><li>
Skilled in graph analysis, machine learning, and unstructured data workflows.</li><li>
Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.</li><li>
Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.</li><li>
Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).</li><li>
Strong communication skills&mdash;translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.</li><li>
Mindset of ownership: you&rsquo;re excited to see projects through, from first prototype to deployed, customer-facing solution.</li></ul><h4 class="jobSectionHeader">
We offer:</h4><ul><li>
Full time employment</li><li>
Employee benefits</li><li>
Work-life balance: flexible working hours, remote work forever</li><li>
Career growth: Promotion and great development opportunities within the organization</li></ul></div>

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, GenAI

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, ML

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement models for our energy supply business using Python and other data science tools
 </li>
 <li>
 Identify, analyze, and mitigate credit risk
 </li>
 <li>
 Conduct data analysis and modeling to support risk management decisions
 </li>
 <li>
 Stay current with industry developments and regulations related to credit risk management
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience as a quantitative researcher or data scientist
 </li>
 <li>
 Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
 </li>
 <li>
 Strong statistical and modeling skills
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Experience in the energy industry is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and a stock options sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs!
 </li>
 <li>
 28 days paid annual leave per year including public holiday
 </li>
 </ul>
</div>

Quantitative Researcher

Northslope Technologies

<div>
 
 Role Description
 
 
 
 As a Forward Deployed Software Engineer at Northslope, you will be responsible for helping our customers solve their most valuable problems, working closely with stakeholders to conceive, architect, build, and maintain applications that make a measurable impact on their business. Day to day, you&rsquo;ll understand a customer&rsquo;s most critical objectives and build operationalized workflows on their enterprise data that end users actually use to make change within the business. You&rsquo;ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. As a Forward Deployed Engineer, you won&rsquo;t just ship code - you&rsquo;ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
 
 
 
 What We Look For
 
 
 
 <ul>
 <li>
 An obsession with helping your customer win, even when it goes beyond the original &ldquo;scope&rdquo;. You eat hard customer problems for breakfast and take pride in delivering solutions that actually drive value.
 </li>
 <li>
 Strong analytical abilities and problem-solving aptitude. You love breaking down complex problems and building end-to-end solutions that actually work.
 </li>
 <li>
 Proficiency in Python and/or Typescript. We build in these languages everyday.
 </li>
 <li>
 Ability to work independently and own outcomes autonomously. You'll always have support, but we're looking for teammates who want to be in the driver's seat and fully own their work.
 </li>
 <li>
 Demonstrated ability to build applications that use large structured and unstructured datasets in a production environment. We take a customer's data and make it valuable to them - this is our bread and butter.
 </li>
 <li>
 A track record of delivering real-world outcomes with code. As a software engineer, data scientist, or deeply technical analytics lead, you've helped an organization up its game through the software you've written and/or the analytical products you've built.
 </li>
 <li>
 Strong ability to collaborate with internal and external teammates with varying levels of technical proficiency. We embed with our customers and join their teams, you'll need both technical and people skills to succeed.
 </li>
 <li>
 Willingness to travel as-needed for client implementation work. Every project is different, but typically projects involve travel 10-33% of the time.
 </li>
 <li>
 Enthusiasm for working hybrid-in-person at our London, New York, Washington D.C or Denver offices and onsite with our customers.
 
 
 </li>
 </ul>
 
 Preferred But Not Required To Be Successful
 
 
 
 <ul>
 <li>
 A bachelor's or masters degree in Computer Science
 </li>
 <li>
 Experience with Palantir Foundry and/or AIP
 </li>
 <li>
 Experience delivering production ML and/or LLM-based solutions
 </li>
 <li>
 Experience delivering production frontend applications in React
 </li>
 <li>
 Experience with Spark and distributed compute.
 
 
 </li>
 </ul>
 
 Company Description
 
 
 
 Northslope builds custom products for ambitious organizations that are reinventing their industries - from the largest fortune 500 companies and governments to the smallest startups. We solve our customers' most mission-critical problems with unmatched velocity, bringing their disparate enterprise data into operator-centered workflows that move atoms in the real world and change how people approach their work each day.
 
 
 We build our products on the Palantir Foundry &amp; AIP platform, the world's first Enterprise Operating system. We focus on enterprise-wide data integration, practical deployment of ML and LLM solutions, and deep understanding of operator's pain points. We build ironman suits for operators, so they can better achieve their mission and deliver more value to the bottom line.
 
 
 At Northslope, we're built different. Traditional professional services companies are designed for years-long, cookie-cutter projects that stay the same day in and day out. We take pride in being more like a product startup than a traditional services firm. We value velocity, ingenuity, and grit, and we relentlessly focus on delivering tangible outcomes for our customers.
 
 
 We also have fun. We get to work on big, hard problems, in a fast-paced environment, alongside sharp teammates who help us continuously grow and delight in one another's successes. We offer full benefits and all the perks you'd expect of a modern tech startup, and are a distributed global team with hubs in London, New York, and Denver.
 
 
 
 Our Principles
 
 
 
 <ul>
 <li>
 Only Valuable Problems: Not every problem is worth solving. We work on the projects that will significantly improve our customers' bottom lines.
 </li>
 <li>
 Outcomes, Not Activity: We create value, not extract it. We focus on our business impact, not racking up billable hours.
 </li>
 <li>
 Forward Deployed Engineering: We never build in a vacuum. We go to the heart of the problem and build alongside our users.
 </li>
 <li>
 Expand the Possible: AIP &amp; Foundry are powerful. We keep our eyes on the horizon to spot new opportunities for value on the platform.
 
 
 </li>
 </ul>
 At Northslope, you'll get to build products that solve mission-critical problems at large customers across a variety of industries, alongside a team of sharp, high-horsepower, caring people who want to win. If you're looking for a fast-paced, high-growth environment and an opportunity to work on a wide array of big problems, we'd love to chat.
 
 
 
 Northslope is committed to building a strong, diverse team. We believe teams with a diversity of lived experience, background, and perspectives create better outcomes for our customers and are just more enjoyable to be part of. We are committed to creating and living a culture of diversity, equity, and inclusion throughout our work. We do not discriminate on the basis of race, national origin, religion, disability, pregnancy, age, military status, marital status, genetic characteristics or information, gender, gender identity, gender variance, or sexual orientation.
 
</div>

Forward Deployed Software Engineer

Explore 668+ Analytical data scientist in Dubai this February. Find roles across top companies and apply now to boost your career.

668 analytical data scientist jobs In Dubai

Data Scientist

Data Scientist

Data Scientist

Staff Data Scientist, Algorithms, GenAI

Staff Data Scientist, Algorithms, ML

Quantitative Researcher

Forward Deployed Software Engineer