Data Scientist

Job Description

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