Data Science Intern

We're looking for a
Senior Data Engineer
with strong
Python
skills and hands-on
Spark infrastructure
experience to help run and evolve our data platform operations. You'll partner closely with engineers across the team and with Data Scientists, providing support and building processes that keep our large-scale data infrastructure running smoothly and reliably. This role is ideal for someone who enjoys owning platform reliability end-to-end - from pipeline design to production observability.

Responsibilities

• Partner with engineers across the team to operate and evolve the data platform
• Work closely with Data Scientists, providing technical support and ensuring smooth day-to-day operations
• Build, maintain, and improve CI/CD pipelines for data workflows
• Manage and optimize Spark infrastructure supporting a high volume of jobs
• Manage Kubernetes resources for on-prem workloads
• Implement and maintain authentication and data governance practices
• Handle file compaction and maintenance across HDFS and object stores
• Design and maintain partitioning strategies, schemas, and type-safe data models using table formats like Iceberg/Hive
• Set up and maintain observability tooling (Prometheus, Grafana, OpenTelemetry) and participate in on-call rotations
• Collaborate cross-functionally as a strong team player across engineering and data science teams

Requirements

• Strong hands-on expertise with CI/CD pipelines
• Solid experience with Spark infrastructure at scale
• Background in distributed systems
• Experience managing Kubernetes resources
• Practical knowledge of authentication and data governance principles
• Familiarity with file compaction and maintenance on HDFS or object stores
• Strong grasp of data engineering fundamentals: partitioning, schema design, type safety, and table formats (Iceberg, Hive)
• Experience with observability and on-call practices, using tools like Prometheus, Grafana, and OpenTelemetry, including alerting setup
• Proficiency in Python and Airflow
• Experience with Kubernetes (on-prem) and Docker
• Familiarity with Trino/Presto
• Strong communicator and collaborator, comfortable working cross-functionally

Nice to have

• Experience with Scala

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Inkompass Program: Internship
Start Discovering. Keep Growing. Shape What Comes Next.
At
Philip Morris International (PMI)
, we believe growth starts with curiosity, courage, and the willingness to learn. Through the
Inkompass Internship Program
, you'll gain real-world experience, build future-ready skills, and contribute to meaningful work that helps drive our transformation.

From day one, you'll work alongside experienced professionals, contribute to real projects, and develop the capabilities needed to thrive in a constantly evolving world. Through hands-on experience, mentorship, and continuous learning, you'll discover your strengths and unlock your potential.

About the Inkompass: Internship program
Inkompass Internship Program is designed for students who are eager to challenge themselves, explore different career possibilities, and gain practical experience within a global organization.

Throughout The Internship, You'll

• Work on real projects that create meaningful business impact
• Build future-ready skills through practical learning experiences
• Receive mentorship, coaching, and continuous feedback
• Collaborate with diverse teams and professionals across the business
• Expand your professional network and learn from industry experts
• Experience a culture that values innovation, collaboration, and growth

Experience of working
in R&D center
within the following departments:

• Math & Product AI – Mathematical Modelling, Data Science, Machine Learning, and GenAI
• Product Category Insights – Data Analytics & Insights
• Innovation & Program Statistics – Statistics, Statistical Learning, and Applied Statistics

Math & Product AI -
As an AI Engineering Intern, you will work with researchers and engineers on real-world AI and machine learning projects. You will support the development of data processing, ML models, and innovative solutions while gaining hands-on experience in a collaborative and global environment.

Product Category Insights -
As a Product Category Insights Engineering Intern, you will analyze data, develop analytical tools, and generate insights that support product innovation and business decisions. You will work with cross-functional teams and gain hands-on experience in a collaborative environment.

Innovation & Program Statistics -
The Intern in Statistics will support data analysis, experimental design, and statistical tool development under the guidance of experienced statisticians. This role offers hands-on experience in applying statistical methods to research, product development, and process improvement projects.

Who Can Apply
We are looking for students currently pursuing a Bachelor's or Master's degree (expected to graduate in 2027) or recent graduates with a background in
Mathematics, Statistics, Data Science, Artificial Intelligence, Machine Learning, Engineering, Economics
or other related quantitative fields are encouraged to apply.

• Have the legal right to work in Armenia
• Demonstrate strong communication and collaboration skills
• Show curiosity, initiative, and a willingness to learn
• Be adaptable and comfortable working in dynamic environments
• Be available to report onsite at our R&D office throughout the internship period

What We Offer

• Real projects and meaningful responsibilities
• Personalized mentorship and development support
• Exposure to industry-leading professionals and business leaders
• An inclusive environment where diverse perspectives are valued
• Opportunities to learn, experiment, and grow
• A global platform to explore your ambitions and future career possibilities

Program details

• Start date: September 2026
• Duration: 6-month Paid Internship

Ready to start your journey?
Apply now to the Inkompass Internship program and help shape what comes next at PMI.
30993

Equiti is a pioneering fintech firm and world-class provider of multi-asset fintech products - from liquidity solutions to in-house tech hubs to online trading platforms. With over 400 global specialists in 9 languages, Equiti provides clients with access to individual, professional, and institutional brokerage services in Europe, the Middle East, and Africa.

At Equiti, we believe that financial opportunities can unlock potential for everyone, everywhere. We’re on a mission to deliver accessible online trading products around the world through education and accessibility.

Think finance is stuffy? Think again.

"At Equiti, we’re building fintech with a purpose: making wealth tools accessible to everyone. As we continue to grow, we’re seeking talented individuals who thrive in innovative environments. , and we are on the lookout for talented individuals who can perform and excel in a dynamic and innovative working environment. Our
Data department
would like to welcome a detail-oriented.

Senior BI Analyst
in our office in
Yerevan, Armenia

Responsibilities

• Design and develop Power BI reports, dashboards and supporting datasets on certified gold semantic models
• Migrate legacy reports onto the gold model and automate recurring manual reporting (including end-of-quarter finance outputs), retiring untrusted or duplicated reports
• Enhance, maintain and adapt data models to changing business and operational requirements, in line with the Group’s modelling and DAX standards
• Build and deliver capabilities that enable business self-service around reporting, analytics and dashboarding
• Validate outputs rigorously against certified definitions; troubleshoot and correct issues in existing reports
• Apply AI-assisted development in daily work - LLM-assisted DAX, M and SQL, Copilot in Power BI, and automated data-quality and reconciliation checks - while owning the accuracy of what ships
• Tune performance of models and reports (query folding, incremental refresh, aggregations)
• Provide technical consultation to business partners across global offices and document what you build
• Contribute improvements to the BI team’s ways of working - documentation, reusable patterns, quality checks - and implement them
• Support a repeatable onboarding pattern as new Group entities adopt the shared BI platform

Skills & Competencies

• Strong command of the Microsoft Power BI stack, with advanced DAX for data shaping and modelling and strong Power Query / M skills
• Data visualization craft and command of best practices for executive and operational audiences
• Rigorous validation habits - you treat reconciliation against certified definitions as part of the build, not an afterthought
• Clear communication with non-technical stakeholders across time zones
• Comfort using AI coding and analysis assistants productively and critically
• Self-starter who can take a designed pattern and deliver volume against it with high quality

Experience Requirements

• 4+ years of commercial experience in BI development or analytics, with substantial hands-on Power BI delivery
• Data modelling experience with Tabular models; advanced DAX in production reports
• Strong MS SQL Server / T-SQL experience; SSIS or modern pipeline tooling (e.g. Azure Data Factory / Fabric pipelines) is a plus
• Experience migrating or consolidating legacy reporting estates is a strong advantage
• Performance troubleshooting and tuning of Power BI models and reports
• Exposure to Microsoft Fabric, Power BI deployment pipelines, or streaming datasets is a plus
• Bachelor’s degree in computer science, information systems or a related field, or compensating experience

Perks

Each of our offices has its special perks; be it ‘no ties’, free lunches, charity events, or a hybrid work policy – but whenever you walk into an Equiti office, you’re sure to see a friendly face. We encourage international collaborations and always keep our eyes open to how we can do more.

The benefits you can expect at your Equiti workplace include:

• Competitive salary package
• Performance-based bonus
• Medical insurance coverage for employees and family members
• Smart working options
• Employee wellness initiatives
• Personalized career development
• Company lunch in the office
• Regular company events

With energy, drive, and imagination, there’s no limit to where your career can go at Equiti. With a diverse workforce and geographical spread of offices, we strongly support career development initiatives as well as provide a range of opportunities for professional and life experiences.

Equiti is an equal opportunity employer.

“Equiti” refers to a group of companies consisting of seven regulated financial services companies licensed to operate in the respective jurisdictions of their incorporation, in addition to our tech and marketing hubs. Equiti has presence in Africa, Europe, and the Middle East.

The company is building an AI video security platform that doesn't just record — it understands. Founded in 2021, backed by tier-one Silicon Valley investors, and one of the fastest-growing companies in the video security space ($64M raised, 50k+ cameras deployed). Small teams, real ownership, direct impact.

The
Senior Software Engineer, Edge
joins a small, high-impact team building the software layer that runs on companies core device infrastructure. The system is a hybrid edge-cloud architecture spanning video, security, networking, storage, and on-device AI. Resource-constrained, performance-critical, real-time. You'll own how well the software behaves under load — CPU, memory, concurrency — on a dedicated machine where every cycle counts.

Responsibilities:

• Contribute to the core edge platform running across diverse hardware in a hybrid edge-cloud architecture
• Develop and integrate video management capabilities: streaming, recording, real-time AI processing
• Design and optimize for low-latency, high-performance workloads at the edge
• Build secure, efficient communication pipelines between edge devices and cloud systems
• Work with AI/ML engineers to deploy and optimize on-device models
• Own performance under load — profile CPU/memory, identify bottlenecks, fix them
• Participate in code reviews, debugging, and performance tuning across the stack

Requirements:

Must-Have Skills:

• Go / Rust / TypeScript (20%) — core stack; strong proficiency in at least one, ideally two
• Multithreaded & concurrent programming (18%) — critical requirement; proven experience with real parallel systems
• Performance profiling & optimization (15%) — CPU/memory management under real production load on dedicated hardware
• Docker & containerization (13%) — deploying and managing containerized workloads
• Edge computing / embedded systems (13%) — experience building for resource-constrained environments
• Networking & distributed systems (12%) — solid fundamentals; building reliable comms between edge and cloud
• Real-time systems (9%) — low-latency design and delivery

Nice-to-Have Skills:

• Video streaming / pipeline development
• Storage systems & data management at the edge
• Cloud services integration (AWS S3, GCP, MQTT, Kafka)
• AI/ML model deployment on edge devices
• Security concepts (encryption, secure communication, zero trust)