Data Science Consultant

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means:

• Ability to understand business goals and translate them into Machine Learning use cases and model design

• Understanding and applying clustering/sampling techniques to design

• Grow your understanding of the multi-channel marketing optimization problem space

• Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes

• Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models

• Being able to interpret the models that are being generated

• Developing proofs of concept to verify your ideas

• Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients

• Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

• A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.

• At least 2+ years of industry experience outside of academia

• Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve

• Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred :

• A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.

• Good problem decomposition skills and autonomy when faced with solving data problems

• Experience manipulating large marketing data sets and performing ETL

• Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design

• Experience with large data sets generated in the Ad Tech or Marketing technology spaces

• Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.

• Proficiency in high level scripting language, such as Python or R

• Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises

• If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us

• Experience with Deep Learning architectures and/or Reinforcement Learning

The wage range for thi