data analytics chief scientist

NatWest Group

<div>Join us as a Data Scientist<ul><li>
In this role, you&rsquo;ll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions</li><li>
Day-to-day, you&rsquo;ll act as a subject matter expert and articulate advanced data and analytics opportunities, bringing them to life through data visualisation</li><li>
If you&rsquo;re ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for you</li><li>
We're offering this role at vice president level</li></ul><h2 class="jobSectionHeader">
What you&rsquo;ll do</h2>
We&rsquo;re looking for someone to understand the requirements and needs of our business stakeholders. You&rsquo;ll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our business strategy.
You&rsquo;ll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team.
You&rsquo;ll also be responsible for:<ul><li>
Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms</li><li>
Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems</li><li>
Working with and leading both direct reports and wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes</li><li>
Using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics</li><li>
Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models</li></ul><h2 class="jobSectionHeader">
The skills you&rsquo;ll need</h2>
To be successful in this role, you&rsquo;ll need evidence of project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary team. We&rsquo;ll also expect you to hold an undergraduate or a master&rsquo;s degree in a quantitative discipline, or evidence of equivalent practical experience.
You&rsquo;ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets. And we&rsquo;ll look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques.
Additionally, you&rsquo;ll need:<ul><li>
Experience of deploying machine learning models into a production environment</li><li>
Experience of articulating and translating business questions and using statistical techniques to arrive at an answer using available data</li><li>
Effective verbal and written communication skills and the ability to adapt communication style to a specific audience</li><li>
Extensive work experience, including expertise with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods</li></ul></div>

Data Scientist, VP

McKinsey & Company

<div><div><div>Job ID: 106293
<div><div><li>Riyadh</li></div></div><div> 
</div></div><div> 
 
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div>YOUR IMPACT
<div>As a Data Scientist Intern, you will be part of interdisciplinary teams during an end-of-year internship of 12 weeks, developing analytics solutions that help solve clients&rsquo; most pressing business challenges.
Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.
You&rsquo;ll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.
You&rsquo;ll also contribute to the team&rsquo;s internal knowledge base and tool development, learning how McKinsey and QuantumBlack, AI by McKinsey approach data science at scale.</div>
</div></div><div><div>YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
When you join us, you will have:<div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div>YOUR QUALIFICATIONS AND SKILLS
<div><div><div><ul><li>Recent graduates or final-year students from data science, mathematics, statistics, physics or engineering disciplines with expertise in computer science, data, machine learning, or artificial intelligence</li><li>
Availability for a full-time internship of 12 weeks</li><li>
Strong interest in applying machine learning and statistical analysis to solve real-world problems</li><li>
Foundational experience in Python (preferred) or R for data analysis and model prototyping</li><li>
Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus</li><li>
Basic understanding of data wrangling, visualization, and exploratory analysis</li><li>
Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent</li><li>
Good analytical and problem-solving skills; ability to structure tasks and manage time effectively</li></ul></div></div></div></div></div></div></div>

Data Scientist Intern - QuantumBlack, AI by McKinsey

Entegris

<div>
 
 Job Title:
 
 
 
 Lead Scientist, Analytics &amp; Metrology
 
 
 
 Job Description:
 
 
 
 
 THE ROLE
 
 
 
 Entegris is currently seeking a talented and innovative Scientist to join its Analytical &amp; Metrology team as the Particle Retention Team Lead in Billerica, MA.
 
 
 
 
 This role will focus on leading the retention team on development and deployment of testing methods to evaluate the performance of liquid filtration and purification products, and to study the membrane-particle and membrane-molecule interaction mechanism. The Scientist serves as a subject matter expert related to evaluation of liquid filtration and purification products for semiconductor applications.  In line with our values, which is fostering an environment of teamwork you will have an opportunity to collaborate with technicians, scientists, applications engineers, as well as global technical team members.
 
 
 
 
 The ideal candidate possesses great interest in analytical discovery and will be results oriented and an excellent team player, with solid knowledge of nanoparticles, polymer, and surface chemistry, and familiarity with semiconductor device materials, structures, and metrology.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Develop leading edge particles/molecules retention methods for liquid filtration and purification products performance evaluation in different liquids;
 </li>
 <li>
 Perform DOE test to understand the membrane-particle and membrane-molecule interaction mechanism with variety filtration and purification membranes;
 </li>
 <li>
 Use product and testing expertise to collaborate with internal and external customers to determine root causes in product development and quality problems.
 </li>
 <li>
 Document work in technical reports, presentations, and external publications.
 </li>
 <li>
 Contribute to metrology roadmap of retention test.
 </li>
 <li>
 Promote Entegris&rsquo; image by participating in industrial conferences and seminars.
 </li>
 <li>
 Directly manage the retention team responsible for the following
 </li>
 <li>
 Perform retention test to support test requests in timely manner
 </li>
 <li>
 Develop and maintain SOPs for retention test
 </li>
 <li>
 Identify opportunities for improvement in existing test methods and control systems.
 </li>
 <li>
 Work closely with Scientists, Chemists, and Technicians to ensure accurate and precise testing.
 </li>
 <li>
 Utilize analytical equipment to the best of its ability
 </li>
 <li>
 Maintain retention lab, safe lab habits and work environment
 </li>
 <li>
 Lab equipment installation, service, repair, and maintenance
 </li>
 <li>
 Manage time of staffs in retention lab
 </li>
 <li>
 Improve lab test efficiency
 </li>
 <li>
 Teaching and mentoring junior scientists, chemists, and technicians.
 
 
 
 </li>
 </ul>
 
 What We Seek
 
 
 
 
 <ul>
 <li>
 Ph.D. in chemistry and materials science or Master degree with 2+ years of experience working in the chemical, semiconductor or related industry;
 </li>
 <li>
 Practical knowledge in nanoparticles, polymer, surface chemistry;
 </li>
 <li>
 Experience in general lab instruments (ICP-MS, GC, LC, GPC, etc.);
 </li>
 <li>
 Experience in liquid filtration products evaluation and development is preferred.
 </li>
 <li>
 Experience in supervising junior scientists, chemists, and technicians is preferred.
 </li>
 <li>
 Strong observation capability and pay attention to details in each experiment step.
 </li>
 <li>
 Strong communication skills demonstrated by both oral presentations and written technical publications;
 </li>
 <li>
 Demonstrated problem solving skills with a passion for learning and teaching;
 </li>
 <li>
 Ability to operate in a fast-paced dynamic and collaborative working environment;
 </li>
 <li>
 A role model to maintaining a safe work environment and championing safe work practices;
 
 
 
 </li>
 </ul>
 
 Your success will be measured by:
 
 
 
 
 <ul>
 <li>
 Leading the retention team to test and analyze R&amp;D samples, new products, and in-process samples when needed and in timely manner;
 </li>
 <li>
 Willingness to take new challenges in order to support the overall organization.
 </li>
 <li>
 Confers with process engineers, development scientists, and manufacturing personnel regarding results and research, prepares technical reports and presentations to promote learning;
 </li>
 <li>
 Good communication and coordination abilities and presentation skills;
 </li>
 <li>
 Teaching and mentoring junior scientists and technicians;
 </li>
 <li>
 Ability to conduct project independently and navigate ambiguity;
 </li>
 <li>
 Demonstrated ability to work on multiple projects in parallel;
 </li>
 <li>
 Strong independent operation skills and ability to complete lab work safely;
 </li>
 <li>
 Ability to learn and become proficient at several analytical techniques.
 
 
 
 </li>
 </ul>
 
 WHY WORK AT ENTEGRIS?
 
 
 
 Lead. Inspire. Innovate. Define Your Future.
 
 
 Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization &mdash; not just when it&rsquo;s convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.
 
 
 
 What We Offer
 
 
 
 Our total rewards package goes above and beyond just a paycheck. Whether you&rsquo;re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.
 
 
 
 <ul>
 <li>
 Compensation: $120,000 - $135,000 per year range with actual pay dependent on candidate overall skills for the role
 </li>
 <li>
 Annual bonus eligibility
 </li>
 <li>
 Progressive paid time off policy that empowers you to take the time you need to recharge
 </li>
 <li>
 Generous 401(K) plan with an impressive employer match with no delayed vesting
 </li>
 <li>
 Excellent health, dental and vision insurance packages to fit your needs
 </li>
 <li>
 Education assistance to support your learning journey
 </li>
 <li>
 A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence
 
 
 
 </li>
 </ul>
 Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.
 
 
 At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.
 
 
</div>

Lead Scientist, Analytics & Metrology

Al-Futtaim

<div>Job Requisition ID: 176277

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 


Overview of the role: 


The Head of Data Science &amp; Asset Risk owns the end-to-end analytics, forecasting and risk intelligence that protects and optimizes Al-Futtaim&rsquo;s automotive and financial services portfolio. 
This role is accountable for turning data, AI and market intelligence into financial outcomes, ensuring that pricing, leasing, provisioning, capital allocation and portfolio strategy are driven by forward-looking, explainable and regulator-ready models.

The position operates at the intersection of CFO-level financial control, CRO-level risk management and CDO-level analytics leadership, supporting executive and Board decision-making across the group. 


What you will do: 


The role is responsible for the full lifecycle of assets and market intelligence, from data to financial decision-making. 
This includes:
<ul>
<li>Owning all Residual Value, used-car pricing and market forecasting used across the business</li>
<li>Maintaining authoritative market indices, price curves and forward-looking scenarios for all brands, powertrains and segments</li>
<li>Defining and enforcing the Asset Risk Framework covering market risk, EV transition risk, concentration risk and volatility</li>
<li>Providing risk-driven inputs to IFRS9, provisions, ECL and capital planning</li>
<li>Ensuring all models are auditable, explainable and regulator-ready</li></ul> 
 
The Head of Data Science &amp; Asset Risk acts as the single source of truth for:
<ul>
<li>Portfolio value</li>
<li>Forward price risk</li>
<li>Stress scenarios</li>
<li>Financial impact of market movements</li>
</ul>
This role chairs the Residual Value &amp; Risk Committees, translating complex analytics into clear financial actions for the CFO, CRO and Executive Management. 


Strategic &amp; Commercial Impact 
The role directly influences:
<ul>
<li>Vehicle pricing and lease structures</li>
<li>Portfolio profitability and risk appetite</li>
<li>Provisioning and capital allocation</li>
<li>OEM negotiations and product launches</li>
<li>Remarketing and stock strategy</li>
</ul>
Decisions supported by this function materially impact P&amp;L, balance sheet and return on assets. 


Technology, Data &amp; AI Ownership 
The role owns the group&rsquo;s AI-driven asset intelligence platform, including:
<ul>
<li>Data pipelines across Brands, dealers, auctions, web and internal systems</li>
<li>Forecasting, valuation and risk models</li>
<li>Executive dashboards and real-time reporting 
The mandate is to continuously replace external vendors and manual processes with in-house, scalable AI, delivering higher accuracy, faster decisions and material cost savings.</li></ul> 


Leadership &amp; Governance 
The Head of Data Science &amp; Asset Risk:
<ul>
<li>Leads a senior team of Data Scientists and Analytics specialists</li>
<li>Defines modelling standards, governance and validation</li>
<li>Ensures outputs are trusted by Finance, Risk and Commercial tems</li>
<li>Acts as the group&rsquo;s technical authority on asset valuation and risk.</li></ul> 


Required Skills to be successful: 

<ul>
<li>Deep hands-on technical and analytical expertise, including Python, SQL, large-scale data extraction, and building advanced statistical and machine-learning models.</li>
<li>Ability to turn data into actionable insight, translating complex analysis into clear decisions with measurable business impact.</li>
<li>Strong data governance and risk discipline, ensuring models are explainable, controlled, and suitable for regulated environments.</li>
<li>Proven leadership and executive influence, able to build scalable teams and drive adoption at the senior-management level.</li></ul> 


About the Team: 

<ul>
<li>You will be reporting to Chief Risk Officer</li></ul> 


What equips you for the role: 

<ul>
<li>10+ years in Statistics, Data Science, Risk, Pricing, Forecasting or Financial Modelling</li>
<li>Experience in automotive, asset finance, banking, insurance or large portfolios</li>
<li>Proven ownership of P&amp;L-critical models</li>
<li>Strong background in IFRS9, ECL, stress testing or portfolio risk</li>
<li>Comfortable operating at CFO, CRO and Board level</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Head of Data Science & Asset Risk

Pinterest

<div><div>About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.</div>
We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. 

What you'll do:
<ul>
<li>Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.</li>
<li>Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.</li>
<li>Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.</li>
<li>Influence Ads Product &amp; Engineering to define the measurement roadmap and integrate science solutions into products and platforms.</li>
<li>Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.</li>
<li>Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.</li>
<li>Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.</li>
<li>Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.</li></ul> 
 
What we're looking for:
<ul>
<li>8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.</li>
<li>5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).</li>
<li>Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).</li>
<li>Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.</li>
<li>Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.</li>
<li>Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.</li>
<li>Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.</li></ul> 


In-Office Requirement Statement:
<ul>
<li>We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.</li>
<li>This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.</li> 
</ul>
Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li>
</ul>
#LI-NM4

#LI-REMOTE<div>
Our Commitment to Inclusion:
<div>
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.</div></div></div><div></div>

Staff Data Scientist, Ad Measurement Products

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and initiating new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based one of our Middle East offices as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 5 years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist II - QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in one of our Middle East offices as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
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 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
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Data Scientist - QuantumBlack, AI by McKinsey

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