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- Tasks: Collaborate with experts to solve real-world data and AI challenges.
- Company: Join a globally renowned management consulting firm with a dynamic culture.
- Benefits: Competitive salary, top training, global career mobility, and mentorship opportunities.
- Why this job: Shape the future of data and AI while making a meaningful impact.
- Qualifications: Experience in data/AI roles, strong coding skills, and a passion for innovation.
- Other info: Be part of a diverse team that values creativity and continuous development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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? Join Our Data & AI Team.
Do you want to work on meaningful problems, shape the future of data and AI, and accelerate your career with a team that values innovation, excellence, and diversity of thought? We are always on the lookout for a diverse range of talent—from data scientists and engineers to architects and subject matter experts—to help transform how organisations harness data and next‑gen technologies. You’ll be joining a high‑growth consulting environment backed by the strength of a global leader with over 300,000 employees worldwide. Our dynamic, cross‑functional teams work at the cutting edge of data strategy, engineering, analytics, and Generative AI to solve real‑world business problems across industries.
About the Team: Our Data & Analytics practice sits at the heart of digital transformation. We advise and deliver across the data lifecycle—from advisory to implementation—helping clients build modern data ecosystems, unlock value from AI, and scale responsibly. We work across four key pillars:
- Data Strategy & Governance
- Data Engineering & Architecture
- Analytics & Decision Intelligence
- AI & Generative AI Innovation
Who We’re Looking For: We are hiring across all levels and capability areas, including:
- Data Scientists & AI Specialists: Proven experience building ML/AI models, including LLMs and Gen AI solutions. Strong statistical foundations and ability to translate business problems into data science hypotheses. Tools: Python, R, TensorFlow, PyTorch, Hugging Face, OpenAI, VectorDBs, LLMOps pipelines, etc.
- Generative AI Specialists: Deep knowledge of transformer architectures, diffusion models, and fine‑tuning LLMs. Ability to lead GenAI use case discovery, design experiments, and prototype rapidly. Familiarity with LangChain, RAG pipelines, embedding models, SDLC, LLMOps, etc.
- Data Engineers: Skilled in building robust, scalable data pipelines across cloud and hybrid platforms. Experience with modern data stacks: Spark, Databricks, Python/Scala, SQL, Delta Lake, Airflow. Exposure to containerization (Docker, Kubernetes) and orchestration workflows.
- Data Architects: Experience in modern data architecture design (lakehouse, mesh, medallion model). Expertise in Azure, AWS, or GCP, and familiarity with MDM, metadata, lineage tools. Able to bridge business strategy with technical data platform design.
- Data SMEs & Analytics Consultants: Strong understanding of industry‑specific data challenges (e.g., retail, energy, finance). Comfortable leading workshops, shaping problem statements, and translating insights for impact. Proficient in dashboarding (Power BI, Tableau), hypothesis‑led analysis, and stakeholder engagement.
What You’ll Do (Depending on Role):
- Design and implement AI/ML models, including GenAI‑based use cases.
- Build and manage scalable data pipelines and engineering workflows.
- Architect enterprise‑grade data platforms and guide data strategy for clients.
- Deliver insights through advanced analytics, dashboards, and storytelling.
- Support data governance, metadata, and master data design.
- Collaborate with cross‑functional teams to shape new offerings and reimagine business processes through data.
What We’re Looking For: 3–10+ years’ experience in relevant data/AI roles (varies by role and level). Strong coding skills (e.g., Python, SQL) and cloud fluency (Azure, AWS, or GCP). Hands‑on exposure to modern tools (e.g., Spark, Databricks, Airflow, TensorFlow, Streamlit, Redis, VectorDBs). Experience with production ML/AI pipelines, A/B testing, or model governance. Deep curiosity, pragmatic problem‑solving, and clear communication skills.
Why Join Us? Be part of a bold, growing team shaping the future of data and AI. Work with some of the most exciting clients and use cases in the industry. Learn, experiment, and grow in a culture that values impact, autonomy, and continuous development. Access global career mobility and formal mentorship across domains.
Don’t Meet Every Requirement? That’s okay. We value attitude, capability, and potential. If you’re passionate about data and AI, and you want to make a real impact—we want to hear from you.
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, 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 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!
Data & AI Consultant employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Consultant
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and share your passion for data and AI. This can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by practising common questions related to data and AI roles. Think about how your skills align with the job description and be ready to discuss specific projects you've worked on. Confidence is key!
✨Tip Number 3
Showcase your skills through a portfolio or GitHub. If you've built any ML models or data pipelines, make sure to highlight them. This gives potential employers a tangible sense of what you can do!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and making an impact in the data and AI space.
We think you need these skills to ace Data & AI Consultant
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data & AI Consultant role. Highlight your relevant experience and skills that align with what we’re looking for, like your coding prowess or any hands-on projects you've tackled.
Showcase Your Passion: We want to see your enthusiasm for data and AI! Share any personal projects, contributions to open-source, or even relevant coursework that demonstrates your commitment to this field. Let your passion shine through!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point while showcasing your skills.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Infosys Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Python, TensorFlow, and cloud platforms. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about the methodologies you used and the impact your solutions had. This will demonstrate your ability to translate business problems into actionable data strategies.
✨Understand the Company Culture
Familiarise yourself with the company’s values and culture, especially their focus on diversity and innovation. Be ready to discuss how your personal values align with theirs and how you can contribute to their dynamic environment.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects in AI and data strategy, or ask how they measure success in their consulting engagements. This shows you're genuinely interested and engaged.
