Junior Data and Machine Learning Analyst

Join NielsenIQ as a Junior Data and Machine Learning Analyst, where you will play a pivotal role in analyzing data and implementing machine learning models. This is an exciting opportunity for individuals looking to enhance their skills in data analysis and machine learning in a dynamic and innovative environment.

Role overview NielsenIQ seeks a Junior Data and Machine Learning Analyst for its Sofia office. This position works alongside experienced data scientists and analysts, with a focus on extracting insights from complex datasets and contributing to machine learning projects. What you will do Analyze large and diverse data sets to uncover patterns and trends Support the creation and application of statistical models Assist in building and testing machine learning solutions Work closely with team members to deliver insights that inform decisions Growth and learning This role provides hands-on experience in data analysis, statistical modeling, and machine learning. Guidance from experienced colleagues and opportunities to develop new technical skills are part of the team culture.

Role overview NielsenIQ seeks a Junior Client Data Analyst based in Sofia. This entry-level role centers on analyzing and interpreting data to support client decision-making. It is well suited for recent graduates or those starting out in data analytics. What you will do Collaborate with cross-functional teams to gather and clarify data requirements Assist with preparing, cleaning, and analyzing data sets Present findings and insights to stakeholders Contribute to maintaining accuracy and relevance in all data deliverables Requirements Strong analytical skills Keen attention to detail Ability to work effectively with different teams Clear communication skills for sharing data insights

We are seeking a motivated and detail-oriented Junior Market Data Operations Analyst to join our dynamic team at NielsenIQ. In this role, you will assist in the collection, processing, and analysis of market data to support our clients' business decisions. You will work closely with senior analysts to ensure data accuracy and integrity while gaining valuable insights into market trends.

Experian is looking for a Junior Data Production Analyst in Sofia for a fixed-term role. This position is designed for recent graduates or those beginning their careers in data management. Role overview The Junior Data Production Analyst will assist the team with daily data production tasks. The focus is on supporting established processes and ensuring data management activities run smoothly. Who this role suits This position is a good fit for individuals starting out in data management or those who have recently completed their studies. It offers hands-on experience in a structured environment. Location and contract This is a fixed-term role based in Sofia.

Join our Analytics Services Team at Experian Software Solutions, where we drive innovation in advanced analytics and generative AI for decision-making, fraud prevention, and identity verification worldwide.As a Machine Learning Scientist, you will leverage your expertise to design, build, and implement state-of-the-art machine learning and generative AI solutions at scale. Your role will merge deep data science knowledge with ML and data engineering skills to deliver robust production models, prototypes, and platform enhancements. Additionally, you will collaborate with cross-functional teams to facilitate global product launches, client implementations, and drive early adoption initiatives. You will report directly to the Director of Data Science and Generative AI.Key Responsibilities:Collaborate with data scientists to enhance and productize additional analytics solutions.Ensure the successful execution of production code within the Ascend platform to deliver innovative solutions to our clients.Work with Engineering, Research, and Data Science teams to design and implement machine learning models, dashboards, ad hoc analyses, and AI applications on a cloud-native big data platform (AWS).Partner with leaders, analytic consultants, engineers, account executives, product managers, and external partners to introduce impactful solutions to our diverse client base.Develop advanced machine learning solutions and prototypes to glean insights from varied structured and unstructured data sources, documenting and presenting findings effectively.Utilize generative AI tools and model development frameworks to create new models and deploy generative capabilities, including prompt engineering and model evaluation.Produce high-quality production code following software engineering best practices, ensuring reliability and reproducibility.Communicate methodologies, assumptions, performance metrics, and trade-offs to both technical and non-technical stakeholders, translating intricate concepts into actionable insights.Design and implement advanced algorithms to tackle complex problems across supervised, unsupervised, and reinforcement learning methodologies.Contribute to the evolution of features and platforms by gathering feedback from clients and teams, prioritizing enhancements within Experian's ML and AI ecosystem.

Join Accedia as a Junior Data Engineer and immerse yourself in a dynamic and innovative environment where collaboration and continuous learning are at the forefront. This is an exciting opportunity for individuals who are passionate about data engineering and eager to enhance their skills.What You Can Expect:Be part of a supportive team working on projects for international clients.Contribute meaningfully to team objectives by designing and implementing robust data processing systems, data pipelines, and engaging data visualization solutions.Engage in performance analysis and enhance data reliability and quality.Communicate effectively with your team and clients regarding tasks, requirements, challenges, and queries.Embrace learning opportunities through technology exploration, participating in knowledge-sharing initiatives, and mentoring junior team members.Craft complex SQL queries, scripts, and stored procedures.Develop tailored client reports and refine existing ones proactively to enhance operational efficiency and in response to client requests.Diagnose and resolve issues within existing reports and data by conducting thorough analyses of SQL and reporting outputs.

About Our TeamThe Global Operations team at SumUp is dedicated to creating an unparalleled customer experience in the fintech sector, with artificial intelligence at its core. As a vital member of our AI team, you will bridge machine learning engineering and tangible product impact, developing models and systems that enhance intelligent customer support for over 4 million merchants globally. This is not a research position; it's a dynamic engineering role where your contributions will directly influence the daily experiences of SumUp merchants.Your ResponsibilitiesDesign, build, and deploy robust AI solutions into production, prioritizing reliability and scalability.Develop and maintain ML infrastructure and data pipelines to optimize data processing, model training, and serving.Enhance and fine-tune machine learning models for peak accuracy and efficiency in large-scale applications.Work collaboratively with data scientists, product managers, and backend engineers to convert business requirements into effective AI strategies.Implement strong engineering practices including version control, CI/CD, and comprehensive testing frameworks.Gather, preprocess, and organize extensive text datasets to facilitate superior model training and assessment.

Join our dynamic team at Accedia as a Junior Data Engineer! We're seeking an enthusiastic individual who is keen to learn, excels in a collaborative environment, and is driven to advance their skills and share knowledge.What You Can Expect: Collaborate in a supportive atmosphere serving international clients.Receive mentorship and guidance from experienced software developers.Contribute to team objectives by engaging in tasks that involve designing and implementing data processing systems, data pipelines, and data visualization solutions.Communicate actively with your mentor, team members, and clients regarding tasks, requirements, and any issues that arise.Expand your skill set through learning new technologies, attending technical and soft skills training, and pursuing professional certifications.Write complex queries and develop database scripts and stored procedures.Create and modify client-specific reports to enhance operational efficiency and respond to customer requests.Analyze SQL and reports to troubleshoot and resolve existing report and data issues.

NielsenIQ is seeking a Junior Data Specialist based in Sofia. This entry-level role centers on practical experience in data analytics, with a focus on supporting business decisions through data work. Responsibilities Assist experienced team members in collecting and processing data Analyze datasets to identify patterns and insights Contribute to interpreting results that guide strategic decisions Who Will Thrive Here This position is a good match for those interested in developing data analytics skills while working closely with a collaborative team.

Experian is looking for a Junior Data Engineer to join the data engineering team in Sofia. This position supports the design and construction of data pipelines, helping to maintain smooth and reliable data flow across multiple platforms. Role overview As a Junior Data Engineer, daily work involves collaborating with data scientists and analysts. The goal is to understand their requirements and contribute to solutions that support informed, data-driven decisions. What you will do Assist in building and maintaining data pipelines Help ensure data is accessible and flows efficiently between systems Work closely with team members to support analytics and reporting needs Collaboration This role provides the opportunity to learn from experienced engineers and partner with analytics professionals to deliver practical data solutions.

Join NielsenIQ as a Principal Data Scientist, where you will play a pivotal role in shaping data strategies and driving insights. In this position, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets and provide actionable insights that influence business decisions. You will collaborate with cross-functional teams to design innovative solutions that enhance our data-driven capabilities.

Empowering Wealth Building for AllAt Trading 212, we are transforming the trading and investing landscape by delivering exceptional products that resonate with our users.Our commitment to a culture of excellence and rapid progress has been pivotal to our achievements.Currently, we proudly serve over 5 million clients, managing more than €30 billion in assets—a testament to the trust and scale we have established in a short period.Position OverviewWe are on the lookout for a Junior AML Operations Analyst to become a vital part of our expanding team in Sofia, Bulgaria. In this pivotal role, you will engage in detailed investigations and manage escalations to our Second Line of Defense teams. This position demands in-depth analysis, critical thinking skills, and a meticulous attention to detail.This role is designed for growth, where you will receive guidance from seasoned analysts in our Operations team, learning to uncover patterns of financial crime and suspicious activities, while contributing directly to the security and integrity of our global platform.What You Bring to the TableLanguage Proficiency: Fluent English (C1 level or above).Mindset: Eager to learn, adapt to a fast-paced environment, and maintain a customer-centric approach.Soft Skills: Strong time management capabilities and effective multitasking skills.Preferred QualificationsPrior experience in an AML operational role or within the Fintech sector.Basic knowledge of stock market operations.CAMS certification or similar compliance qualifications.Your ResponsibilitiesMonitor, investigate, and respond to AML transaction alerts.Examine transaction patterns and behaviors to detect potential money laundering or fraudulent activities.Compile reports on suspicious transactions and activities, including relevant findings and supporting documentation.Escalate high-risk or suspicious findings to the appropriate internal teams.Stay updated on all relevant AML, KYC, and CTF regulations.

Join Experian as a Data Scientist and leverage your analytical skills to transform data into actionable insights. You will be part of a dynamic team that focuses on extracting value from data, driving business strategies, and enhancing customer experiences. Your role will involve developing predictive models, conducting data analysis, and collaborating with various departments to support data-driven decision-making.

Role overview The Client Data Analyst at NielsenIQ in Sofia plays a key part in supporting business decisions through careful analysis of client data. This role involves close collaboration with colleagues across different departments to help maintain accurate data and high-quality reporting. What you will do Examine client datasets to find trends and patterns that inform business actions. Present insights in a clear, actionable way for both internal teams and external partners. Contribute to strategic planning efforts by supplying relevant data analysis. Work with cross-functional teams to uphold data integrity throughout reporting processes.

Join our innovative Analytics Services Team at Experian Software Solutions, where we drive the development of cutting-edge analytic and generative AI products that aid in decision-making, analytics, fraud prevention, and identity management on a global scale.As a Data Scientist, you will leverage your expertise in predictive modeling, coding, and generative AI to craft analytical solutions and contribute to product prototypes. Your role will involve leading analytical consulting efforts for Experian's new global product launches and ensuring early client success. You will work under the guidance of the Director of Data Science and Generative AI.Key Responsibilities:Design and implement advanced machine learning models and prototypes to extract valuable insights from various structured and unstructured data sources.Collaborate with engineering, research, and data science teams to develop Machine Learning applications, dashboards, and ad hoc analyses on our cloud-native big data platform (AWS).Clearly communicate model processes and outcomes, documenting findings and performance metrics while translating complex results into actionable insights.Work alongside leaders, analytic consultants, engineers, and product managers to introduce new solutions to the market that create significant value for Experian's diverse client base.Utilize generative AI and modeling tools to develop innovative models.Investigate and integrate new data assets from various sources into Experian's ML and AI platform.Collect feedback from internal and external clients to inform product development and feature prioritization, as well as contribute to the evolution of tools and capabilities within the Ascend Platform.Analyze extensive datasets to identify patterns and insights.Address complex challenges through the creation of impactful algorithms.

We are seeking a skilled Data Extraction & Operations Analyst to join our dynamic team at NielsenIQ. In this role, you will be responsible for extracting, analyzing, and interpreting data to help drive operational excellence and strategic decision-making. Your expertise will contribute significantly to the efficiency and effectiveness of our processes.

Join our dynamic team as a Service Data Analyst, a thrilling opportunity for a motivated candidate eager to immerse themselves in various facets of the warehousing and logistics sector. This role offers a chance to engage in customer account management while ensuring our data remains accurate and updated. The fast-paced environment demands exceptional attention to detail and quick decision-making.As part of a newly established team, you will play a vital role in migrating multiple finance and logistics back-office functions from a group firm. This role covers an array of disciplines, starting with data management and sorting, and evolving into a variety of interconnected tasks.Main Responsibilities:Data Management:Inputting and managing workflow data across multiple systems.Gathering and processing customer inputs.Report and Table Maintenance:Ensuring that tables are updated based on business requirements.Aligning reports with global reporting standards.Maintaining adherence to business rules and coordinating data across tables to prevent discrepancies.Project Support and Governance:Providing advice, training, and assistance with process implementation, querying, and audits.Developing and refining functional templates and process documentation.Contributing to new projects, migrations, and strategic implementations.Continuous Improvement:Enhancing function effectiveness through the identification of improvement areas and collaboration for problem resolution.Team Performance:Fostering a positive team atmosphere through proactive communication with stakeholders.Collaborating closely with the continuous improvement team and team leaders.Working in a coordinated fashion with team members to meet process objectives.Ensuring daily responsibilities are completed according to the agreed-upon schedule with your supervisor/manager.

Join NielsenIQ as a Senior Data Scientist, where you will leverage your expertise in data analysis and modeling to derive actionable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making and enhance business strategies. You will be instrumental in developing innovative solutions that meet client needs while contributing to our mission of delivering valuable insights to businesses worldwide.

Join Hitachi Solutions as a Data & Analytics Analyst and play a key role in transforming data into actionable insights. In this dynamic position, you will analyze complex data sets, create reports, and support decision-making processes that drive business performance. Your analytical skills and attention to detail will be essential in contributing to our innovative projects.