Data Jobs

Join a forward-thinking team driving cyber data initiatives that protect and optimise operations. You'll contribute to a variety of projects, from refining existing cyber analytics products to designing new tests, dashboards, and reporting frameworks that inform senior stakeholders.

We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. We provide secure, flexible, cost effective, and high-quality data development s...

Audits Salesforce records for missing or poor data with the purpose of improving data quality. Support stakeholders (Product Management, Engineering teams, Quality teams etc.) with application of big data analytics to existing business processes.

We are looking for an experienced Data Architect with deep expertise in data modeling, data engineering, cloud data platforms, and end‑to‑end data architecture design. What You’ll Do Design scalable data architectures including data lakes, data warehouses, and modern lakehouse platforms.

[Applicants: Over 200 applicants | Industry: Technology, Information and Media and Telecommunications | Type: Full-time | Level: Associate] You are reporting to the Lead Data Scientist. You will support the end to end project with your team member data scientist: from understanding the business requirements to the delivery.Working on complex data science/analysis projects, you will also work on new PoC and R&D projects to anticipate the business needs.It will be your responsibility to support guiding of the stakeholders on the right data transformation approach, creating the models and using the tools you have.You also collaborate with product design and engineering to develop an understanding of needs, and enable smarter business processes—and implement analytics for meaningful insightsYour roleAssist data scientist team members in the development of new insights, advanced modeling techniques, and data science capabilities.Execute analytical experiments methodically to help solve various problems and make a true impact across business units and external partners.Establish actionable KPIs and success metrics and ensures that there is timely and accurate reporting.Leverages data science tools and techniques in analyzing large data-sets that will enable the development of custom models and algorithms to uncover insights, trends, and patterns in the data,Devise and utilize algorithms and models to mine big data sets, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracyWork closely with the IT team for the purpose of facilitating easy and effective access to computing and data resources within the business.Support Lead Data Scientist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data productsIdentify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets.Partner with other non-technical departments within the business assisting them in understanding how data science can benefit them and improve their effectiveness and performance.Communicate analytic solutions to stakeholders and implement improvements as needed to operational systemsTo succeed in this roleA master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.

In this role, you will support our data function by building reports, dashboards, and insights that help drive decision-making across the company. What you will do: • Write basic to intermediate SQL queries to pull, clean, and organise data • Assist in building and maintaining dashboards using Metabase and Google Sheets • Support product, marketing, and operations teams with data requests and ad-hoc analyses • Learn directly from senior analysts and product analytics leads • Help document data processes and improve reporting workflows What you should have: • B.E., B.Tech, B.Sc., B.Com, or equivalent experience in a quantitative field • 0–2 years of experience in a data or analytics role (internships/college projects are welcome) • Basic knowledge of SQL and Excel/Google Sheets • Curiosity about financial markets and personal finance • Some exposure to data visualisation tools such as Tableau, Power BI, or Google Data Studio • Strong attention to detail and analytical thinking • Bonus: Familiarity with Mixpanel, Google Analytics, Python, or R Qualities we value: • Passion for financial markets and continuous learning • Strong communication skills and the ability to explain complex topics clearly • Understanding of financial technology or cross-border investing is a plus • Team-oriented mindset and willingness t...

[Applicants: Over 200 applicants | Industry: Advertising Services | Type: Full-time | Level: Associate] Position SummaryThe Data Analyst role will be part of the Audience Strategy team. The ideal candidate should possess strong expertise in SQL, marketing analytics, and data visualization, along with a creative, outside-the-box approach to problem-solving.

Job Description Who We Are Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, brand management and consumer product licensing, and philanthropy. The product development team designs and builds software experiences for mobile and web that are uniquely valuable for CAA’s diverse, global, and high- energy entertainment industry culture of agents, executives, artists, and business partners.

Responsibilities Demonstrate a good understanding of the Master Data Management, modern Data Analytics Platforms, structures/unstructured data and analytics data models. Develop scalable robust data models, data pipelines, and data lakehouse architectures that align with the organization's data strategy, master data management and analytics requirements.