Junior Data Consultant Jobs

Employment Type: Full-time & Permanent. Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance). Salary: USD 65,000 per annum + performance based bonus - 0% tax environment. Employee Share Scheme : Opportunity to join Cobblestone Employee Share Scheme. Annual Leave: 30 Calendar Days. Public Holidays: As declared by UAE Government annually (8 to 14 days). Probation Period: 3 to 6 Months (as per UAE Labour Law). Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental). Residency Visa Sponsorship: Provided by the Company. Relocation Support: Available for candidates relocating to Dubai. End of Service Gratuity: As per UAE Labour Law. About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning What we offer in this role A full-time position on our Commercial team Committed and remarkably talented colleagues. Highly competitive compensation dependent on performance An exciting, challenging and fulfilling career. Investment in your development to ensure that you always remain the best in business. Equity participation for strong contributors, ensuring our interests are all aligned long term. Key Responsibilities: Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources Forecasting & Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies Strategy Re

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment. In this role, you will: Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights. Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization. Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems. Communicate complex technical findings and recommendations to both technical and non-technical audiences. Mentor and provide technical guidance to junior data scientists and engineers. Qualifications Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist. Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL. Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling. Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques. Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences. Bonus Qualifications Experienc

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. About the Role As a Principal Data Scientist in our AdTech team, you’ll drive innovation in our advertising platform using advanced machine learning and statistical methods. You’ll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business’s bottom line. This role requires technical excellence and business acumen and you’ll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as we

Key Responsibilities Enterprise Data Strategy & Client Engagement: Develop and maintain a comprehensive data architecture strategy that aligns with organizational and client business objectives. Serve as a key technical advisor for clients, translating business requirements into innovative data solutions. Build and maintain strong client relationships by providing expert guidance and managing expectations throughout project lifecycles. Data Modeling, Design & Engineering: Design and optimize both logical and physical data models to support enterprise-wide systems. Architect data warehousing solutions, overseeing the integration of data from multiple sources to enable robust business intelligence and analytics. Directly develop, test, and implement ETL processes and data pipelines, ensuring data quality, consistency, and performance. Technology Evaluation & Implementation: Evaluate emerging data technologies and tools to determine their fit within the existing architecture and potential for future scalability. Oversee the integration of new technologies into the enterprise data architecture, balancing innovation with risk management. Team Leadership & Hands-On Management: Lead cross-functional teams, providing mentorship and technical guidance to junior data engineers and architects. Maintain a hands-on approach by actively participating in coding, design sessions, and troubleshooting complex data issues. Ensure project milestones are met through effective resource management and team coordination. Performance, Security & Best Practices: Optimize data storage, retrieval, and processing performance across various systems. Collaborate with security teams to enforce data governance, compliance, and privacy standards. Establish and promote best practices in data management, data engineering, and architecture design. Documentation & Reporting: Develop and maintain comprehensive documentation covering data architecture designs, data flows, integrati

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Analyze semiconductor manufacturing data (yield, defects, process) to detect anomalies and drive yield improvements. Develop computer vision solutions for image and video use cases (e.g., automated inspection and defect detection). Build and productionize predictive models and robust analytical pipelines for high-volume manufacturing. Apply AI, LLMs, and agentic AI—with AI-assisted development tools—to accelerate analytics and automate engineering tasks. Partner with cross-functional teams, communicate insights clearly, and mentor junior data scientists. Qualifications & Skills Strong machine learning and advanced analytics expertise. Computer vision experience across image and video analytics. Solid database knowledge across relational databases, NoSQL, and cloud databases (Snowflake preferred). Hands-on experience with Generative AI, LLMs, and AI-assisted tools (e.g., Copilot, coding assistants). Solid software engineering discipline (Git, DevOps, Agile). Excellent English communication, able to explain technical insights to technical and non-technical audiences. Strong project management skills, with the ability to manage multiple priorities simultaneously. Proven ability to mentor and grow junior team members. Education & Experience Master's degree (or equivalent experience) in Statistics, Operations Research, Computer Science, Applied Mathematic

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices Create and maintain technical documentation to support knowledge sharing and long-term system sustainability Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value Responsibilities include, but not limited to: <span

P-1439 As Applied ML/AI Engineer at Databricks, you will define and create the Agentic Machine Learning revolution. You will help world’s largest companies build and deploy massive classical machine learning solutions (such as personalized recommendations, fraud detection, dynamic pricing, forecasting) fully using Databricks’ agents and harnesses. After 30 years of painfully slow progress, expensive knowledge acquisition and tedious processes in classical ML, the agentic era has ushered innovation, scale and visibility for all: from the most junior data scientists and machine learning engineers to the world class experts. You will work on Databricks’ Genie Code, an agent and an ML “exoskeleton” that is authoring ML, training and deploying models, monitoring and self-healing production ML, all at the top-expert level. Additionally, you will develop ML solutions that under the hood address the most pressing questions non-technical business people have today: predictive and what-if questions. Your work is a top priority for Databricks and you will report to a Principal Software Engineer (a Director level position). The impact you will have: Build agentic end-to-end systems in a small, highly international team of experienced engineers in a flat and agile organization. Build solutions for people like you: software engineers, ML engineers, data engineers, data scientists and MLOps engineers. Own our applied ML investment by engaging with engineering and product teams across the company. Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services. Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments. Work on novel forecasting techniques. Possibilities to contribute to the broader AI community by presenting a

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

Role Overview – Market Data Site Reliability and Engineering (SRE) This team ensures the high availability and performance of systems that distribute real-time, historical, and reference market data across the firm. These platforms handle extremely high message volumes - over 10 million/second with microsecond latency - and support global financial instruments including equities, fixed income, FX, and derivatives. Key Responsibilities Maintain and optimize global market data distribution systems Monitor capacity, manage latency, and ensure platform stability and security Collaborate with users and developers on integration, migrations, and compliance Support production operations, test new releases, and perform system upgrades Identify automation and efficiency improvements in daily operations Required Skills Strong knowledge of UNIX/Linux, including scripting and performance tuning Proficiency in shell scripting and Python (Java/C++/Perl a plus) Understanding of networking protocols (TCP/IP, UDP, multicast preferred) Experience managing global, high-availability systems Strong problem-solving and communication skills Preferred Skills Familiarity with Agile, CI/CD, project management Knowledge of database technologies The successful candidate should have : Excellent communication skills, broad sense of ownership and proactiveness Bachelor's degree in computer science or a related STEM subject (science, technology, engineering, maths). Good grades 2.1 and above. We look for potential, not prestige, but it’s important that you enjoy pushing yourself to pick up new ideas. A passion for Financial Markets Solid communication skills for facing off both to IT and business teams Strong understanding of server, storage, MQ, and application technologies (Java, .NET, C++) Able to troubleshoot, problem solver, analytical Proficiency with Linux Strong SQL databases experience such as Sybase, DB2, Oracle); able to search log files and compose SQL queries. Net

Junior Inside Software Sales Specialists - Iberia Description - The Inside Software Sales Specialist drives Software and Services sales across HP's portfolio, including third-party offerings, for mid-sized accounts. Working hand-in-hand with Inside Account Executives (iAE), the Channel team, and technical resources, this role brings deep software-specific expertise to the account — from lead generation through negotiation and close — supporting a book of more than 250 accounts and engaging on relevant opportunities. The specialist acts as the Software organization's representative to the customer, positioning HP as the vendor of choice and may take on a project management role in cooperation with iAE. Key Responsibilities Quota attainment — Achieve Software and Solutions sales quota, measured on sales/quota, conversion and win rate, and pipeline. Opportunity management — Support opportunities from qualification through close, activating specialist support early for Advanced AI & Edge Computing-related areas; maintain funnel hygiene in HPD and accurate pipeline management, and partner with the sales team to ensure pipeline data accuracy for the product area. Collaboration with sales teams — Work with iAEs on the software business and hand-in-hand with the Channel team (PBM, iPBM, Proximity) to address leads on the Software and Solutions portfolio in a timely manner. Account relationship and growth — Support proliferation into the customer portfolio by recommending the best software solutions based on installed base and customer pain points; conduct analysis and prospecting to help iAEs build the strongest customer proposal. Expertise and competitive positioning — Provide software offering expertise to iAE, maintain knowledge of competitors' value propositions, and position HP&#

Citi is evolving its current commerce offerings and branching into new avenues of growth by offering merchants access to high value cardmembers across Citi’s digital properties and partner placements. By combining Citi’s scale, trusted customer relationships, and real purchase insights, the business delivers advertising that is relevant to customers and drives measurable, incremental impact for advertisers. If you're early in your career and have been working within AdTech, MarTech, or data environments and are ready to deepen your technical expertise while helping build a platform from the ground up, this is the role. The Junior Solution Architect will support the design and implementation of Citi Commerce’s AdTech and data infrastructure by translating defined architecture into scalable, working technical components. This is a highly hands-on, detail-oriented role focused on execution—ensuring platforms are properly integrated, configured, and optimized to support campaign activation, ad serving, and measurement. This role is ideal for an early-career technologist with AdTech or MarTech exposure who enjoys working across systems, troubleshooting integrations, and enabling seamless data flow across platforms. Responsibilities: Support implementation of Citi Commerce’s end-to-end AdTech and data architecture across platforms Assist with integrations across ad servers, DSPs, CDPs, and measurement platforms (e.g., GAM, DV360, LiveRamp) Configure and maintain tagging, tracking, and pixels to ensure accurate campaign execution and reporting Help build and manage data pipelines, ensuring reliable data ingestion and flow across systems Troubleshoot technical issues related to integrations, tracking discrepancies, and data inconsistencies Assist in QA and validation of platform integrations, tagging, and measurement frameworks Document system c

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit