Data Scientist

October 24, 2024

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Infosys

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Infosys is a global leader in next-generation digital services and consulting, dedicated to assisting enterprises worldwide in navigating their digital transformation. The company leverages digital tools, including AI, cloud services, and cybersecurity, to enhance client operations across various industries, such as finance, healthcare, and automotive. With a mission to amplify human potential and create opportunities for people, businesses, and communities, Infosys partners with organizations to innovate and modernize IT landscapes, improving performance and achieving sustainable growth. Known for its AI-first offerings, Infosys empowers businesses with agile solutions that incorporate data analytics, blockchain, and IoT to drive transformation.

IT Solutions and Services • Consulting • Business Process Outsourcing • Products and Platforms • Engineering Services

10,000+ employees

Founded 1981

🤖 Artificial Intelligence

🏢 Enterprise

💰 Post-IPO Equity on 2008-07

📋 Description

• Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? • We are looking for a highly skilled Data Scientist to join our team. • As a Data Scientist, you will be responsible for analysing large amounts of raw data to extract valuable insights, building machine learning models, and contributing to data-driven decision-making processes across the organisation. • You will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to turn data into actionable strategies that drive business outcomes. • The ideal candidate should have a strong background in statistical analysis, machine learning, and data mining techniques, and should be capable of translating complex datasets into understandable insights that impact business growth.

🎯 Requirements

• Skills and Qualifications: • Essential Skills: • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. A Ph.D. is a plus. • Proven experience (3+ years) as a Data Scientist, Machine Learning Engineer, or similar role. • Strong proficiency in programming languages such as Python or R for data analysis, with experience in libraries like pandas, NumPy, scikit-learn, and TensorFlow/PyTorch. • Solid understanding of statistical analysis and experience in applying techniques like regression, hypothesis testing, and multivariate analysis. • Hands-on experience with machine learning algorithms (classification, clustering, regression, deep learning). • Proficiency with SQL for querying large datasets and relational databases. • Familiarity with data visualisation tools such as Tableau, Power BI, or visualisation libraries in Python (matplotlib, Seaborn). • Experience with big data technologies such as Hadoop, Spark, or distributed computing frameworks. • Strong understanding of data preprocessing, feature engineering, and data pipeline development. • Preferred Skills: • Experience with cloud platforms like AWS, Google Cloud, or Azure for building data science models in the cloud. • Knowledge of NLP (Natural Language Processing), computer vision, or time series analysis. • Familiarity with NoSQL databases (e.g., MongoDB, Cassandra). • Experience with CI/CD pipelines for model deployment and monitoring. • Hands-on experience with A/B testing, randomised experiments, and designing controlled experiments. • Familiarity with tools like Docker and Kubernetes for containerising models and applications. • Personal Attributes: • Strong analytical and problem-solving skills with a passion for data-driven decision-making. • Ability to work independently, prioritise tasks, and manage multiple projects at once. • Excellent communication skills, capable of explaining complex concepts to both technical and non-technical audiences. • A collaborative mindset, with a willingness to work with cross-functional teams to achieve business objectives. • Curious and continuously eager to learn new techniques, tools, and technologies in the data science space.

🏖️ Benefits

• About your team • Join our growing Data & Analytics practice and make a difference. • In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. • In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Management & Governance, Data Integration & engineering, Analytics & Data science. • About Infosys Consulting • Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. • We work with market leading brands across sectors. • Our culture is inclusive and entrepreneurial. • Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. • Our core values, IC-LIFE, form a common code that helps us move forward. • IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. • To learn more about Infosys Consulting and our values, please visit our careers page. • Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. • Infosys is on the Germany’s top employers list for 2023. • Management Consulting Magazine named us on their list of Best Firms to Work for. • Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. • We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. • Curious to learn more? We’d love to hear from you.... Apply today!