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For Companies At a Glance
- Tasks: Design and build modern data solutions while collaborating with experts.
- Company: Join a globally renowned management consulting firm with an inclusive culture.
- Benefits: Competitive salary, top training, and career growth opportunities.
- Why this job: Make a real impact using innovative tech in data science and engineering.
- Qualifications: 3-5 years in data engineering or analytics; strong problem-solving skills.
- Other info: Dynamic environment with opportunities to see your ideas transform into results.
The predicted salary is between 36000 - 60000 £ per year.
About Us
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 will 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?
About Your Role
As a Consultant / Senior Consultant in Data Engineering & Data Science, you work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.
Your role will include:
- Apply data science and machine learning techniques to real-world business problems
- Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
- Develop and optimise data transformations for analytical and machine learning workloads
- Support the productionisation of data and ML solutions, including monitoring and optimisation
What you bring – required Experience & Background
- 3–5 years of experience in data engineering, data science, or analytics
- Hands-on experience delivering data and analytics solutions in project-based or client environments
- Strong problem-solving skills and a pragmatic, delivery-oriented mindset
Data Engineering Foundations
- Experience building end-to-end data pipelines (ingestion, transformation, storage)
- Solid understanding of data modelling, data transformations, and feature engineering
- Familiarity with cloud-based data platforms, such as: Azure, AWS, or GCP Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
- Understanding of CI/CD concepts and production-grade deployments
Applied Data Science & Analytics
- Experience applying statistical analysis and machine learning techniques
- Strong programming skills in Python
- Very good SQL skills and experience working with relational databases
- Experience deploying or supporting ML models in production environments
- Ability to translate analytical results into business-relevant insights
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
Nice to have
- Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
- Exposure to GenAI, NLP, time series, or advanced analytics use cases
- Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)
- Familiarity with Docker and Kubernetes
- Experience with data visualisation tools (e.g. Power BI, Tableau)
- Cloud or data-related certifications
Language & Mobility
- Very good English skills
- Willingness to travel for project-related work
About your team
Join our growing Data & Analytics practice and make a difference. In this practice you will be utilising 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, Data Management & Governance, Data Platforms & 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.
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!
Data Engineering & Data Science Consultant in London employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering & Data Science Consultant in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the Data Engineering & Data Science field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills, especially in Python and SQL, as well as your understanding of data pipelines and cloud platforms. We want you to feel confident and ready to showcase your expertise.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data science or engineering projects, be sure to highlight them during interviews. We love seeing real-world applications of your skills and how you’ve tackled challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your enthusiasm for joining our team at StudySmarter!
We think you need these skills to ace Data Engineering & Data Science Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your data engineering and data science projects, especially those that align with the role's requirements.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and data science. Share specific examples of how you've solved real-world business problems using data solutions.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Python, SQL, and cloud platforms. We want to see how you’ve applied these skills in previous roles, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Infosys Consulting
✨Know Your Data Inside Out
Make sure you brush up on your data engineering and data science fundamentals. Be prepared to discuss your experience with data pipelines, transformations, and the tools you've used like Azure or AWS. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of how you've tackled real-world business problems using data science techniques. Think about challenges you've faced in previous projects and how you approached them. This will demonstrate your pragmatic mindset and ability to deliver results.
✨Familiarise Yourself with CI/CD Concepts
Since production-grade deployments are key in this role, make sure you understand Continuous Integration and Continuous Deployment processes. Be ready to discuss how you've implemented these in past projects, as it shows you're equipped for the operationalisation of data solutions.
✨Translate Data Insights into Business Value
Practice explaining complex analytical results in simple terms. You should be able to articulate how your findings can drive business decisions. This skill is crucial for collaborating with stakeholders and ensuring your work aligns with their goals.
