Initiatives promoting well-being, connectivity events, and flexible working models, depending on the role and individual needs.

Work-Life Balance

Generous vacation days, paid time off, and additional leave for volunteering and supporting charitable causes. 

Paid Time Off

Competitive compensation packages, life and business travel accident insurance, and financial planning support.

Financial Benefits

Comprehensive medical, dental, and vision coverage for employees and their families, along with mental health support programs

Health and Wellness

McKinsey & Company

<p>Our firm is designed to operate as one—a single global partnership united by a strong set of values. We are equally committed to both sides of our mission: attracting and developing a talented and diverse group of colleagues and helping our clients create meaningful and lasting change.&nbsp;</p>
<p></p>
<p>Source: <a href="https://www.mckinsey.com/about-us/overview" target="_self">McKinsey Site</a></p>

Who We Are

<p>Adhere to the highest professional standards</p>
<ul>
<li>put client interests ahead of our firm’s</li>
<li>maintain high standards and conditions for client service</li>
<li>observe high ethical standards</li>
<li>preserve client confidences</li>
<li>maintain an independent perspective</li>
<li>manage client and firm resources cost-effectively</li>
</ul>
<h3>Improve our clients’ performance significantly</h3>
<ul>
<li>follow the top-management approach</li>
<li>pursue holistic impact</li>
<li>use our global network to deliver the best of our firm to all clients</li>
<li>bring innovations in management practice to clients</li>
<li>build client capabilities to sustain improvement</li>
<li>build enduring relationships based on trust</li>
</ul>
<h3>Create an unrivaled environment for exceptional people</h3>
<ul>
<li>be nonhierarchical and inclusive</li>
<li>sustain a caring meritocracy</li>
<li>develop one another through apprenticeship and mentoring</li>
<li>uphold the obligations to engage and dissent</li>
<li>embrace diverse perspectives with curiosity and respect</li>
<li>govern ourselves as a “one firm” partnership</li>
</ul>
<p></p>
<p>Source: <a href="https://www.mckinsey.com/about-us/overview/our-purpose-mission-and-values" target="_self">McKinsey Site</a></p>

Our Values

<p><h2 class="section-header section-header--centered">Your Impact</h2> <div><div>You will work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.&nbsp;&nbsp;</div><div></div><div>You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.</div><div></div><div>You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.</div><div></div><div>While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.</div><div></div><div>As a Data Engineer, you will:&nbsp;&nbsp;</div><div><ul><li>Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions&nbsp;</li><li>Have the opportunity to contribute to R&amp;D projects and internal asset development&nbsp;</li><li>Design and build GenAI applications (RAG, Agentic AI, etc) collaboratively with data scientists&nbsp;</li><li>Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models&nbsp;</li><li>Apply knowledge about clients data landscape and assess data quality&nbsp;</li><li>Create and manage data environments and ensure information security standards are maintained at all times&nbsp;</li><li>Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned&nbsp;</li><li>Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work&nbsp;</li></ul></div><div></div></div></p>

This job is a Data Engineer role at QuantumBlack where you&#x27;ll work on high-impact projects using Python, SQL, and cloud technologies like AWS. You might like this job because it offers opportunities to collaborate with diverse teams and build innovative ML systems.

Your Impact You will work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.  You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a vari...

Job title Data Engineer - QuantumBlack

McKinsey & Company

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