Data Scientist

Are you ready to grow your career in our global tech hub

So, what s the job

Responsibilities

• Youll build, refine, and deploy machine learning models to support predictive analytics, customer insights, and operational optimization.
• Youll explore and analyze structured and unstructured datasets to identify trends, drivers, and opportunities for business impact.
• Youll apply statistical and algorithmic techniques, including data mining and visualization, to uncover actionable insights and opportunities.
• Youll develop scalable data workflows in close collaboration with data engineering teams, working effectively with remote colleagues across different geographies and time zones.
• Youll collate, clean, and transform data from multiple sources to create robust, well-structured datasets for analysis and modelling.
• Youll support feature engineering and exploratory data analysis (EDA) activities to prepare data for machine learning and advanced analytics initiatives.
• Youll fluently query, manage, and optimize SQL databases and data files to support analytical and business requirements.
• Youll work effectively within a globally distributed team, proactively communicating progress, challenges, and outcomes across time zones.
• Youll translate complex technical findings into clear, actionable recommendations for product, business, and leadership stakeholders across multiple locations.
• Youll produce accessible, non-technical reports and presentations that communicate both the value and limitations of analytical work.
• Youll contribute to best practices in experimentation, model governance, feature development, and data science methodologies.
• Youll engage confidently with virtual collaboration tools and asynchronous ways of working to maintain strong team alignment and effectiveness.
• Youll stay up to date with developments in data science, machine learning, and adjacent fields to ensure outputs remain relevant, innovative, and impactful.
• Youll have experience applying Logistic Regression models to solve classification problems and generate actionable business insights.
• Youll have experience building and interpreting Decision Tree models to identify patterns, support decision-making, and solve business challenges.
• Youll have experience designing and analysing experiments, including A/B testing, to evaluate outcomes and support data-driven recommendations.

Requirements

• Youll hold a Masters degree (or equivalent) in Statistics, Data Science, Computer Science, or a related field.
• Youll bring 3+ years of industry experience in data science, advanced analytics, and/or machine learning.
• Youll have prior experience working in or alongside offshore, distributed, or globally dispersed teams, which will be considered a strong advantage.
• Youll demonstrate strong proficiency in Python and/or R, including feature engineering, model training, ad hoc simulations, and reporting.
• Youll possess solid knowledge of common machine learning algorithms, such as Logistic Regression, Random Forests, Gradient Boosting, and Unsupervised Learning techniques.
• Youll apply working knowledge of Bayesian statistics, including concepts such as posterior updates and Bayesian networks.
• Youll confidently use SQL databases and structured data files to support analysis, modelling, and reporting activities.
• Youll have experience working with cloud platforms such as Microsoft Azure and/or Amazon Web Services (AWS).
• Youll be familiar with code management and DevOps tools, including Git and Docker.
• Youll have experience deploying data science and machine learning solutions into production environments.
• Youll bring exposure to architecture design and cross-functional collaboration with IT and engineering teams.
• Youll have experience with parallel computing frameworks such as Hadoop, Spark, or similar technologies.
• Youll be a self-starter who takes ownership, works proactively, and delivers high-quality results with minimal day-to-day supervision.
• Youll communicate clearly and proactively, keeping remote stakeholders informed, aligned, and engaged throughout projects.
• Youll be comfortable navigating ambiguity and working independently across different time zones and global teams.
• Youll be able to bridge the gap between technical complexity and business requirements, tailoring communication for diverse global audiences.
• Youll be collaborative, curious, and committed to continuous learning and professional development.
• Youll be enthusiastic about sharing knowledge and helping others grow, whether collaborating with colleagues locally or across the world.

Skills

• Python
• R
• SQL
• Machine Learning
• Data Mining
• Bayesian Statistics
• Hadoop/Spark
• Azure
• AWS

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.