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Advanced Data Science Associate Consultant - Intern (North America - University Students)

Advanced Data Science Associate Consultant - Intern (North America - University Students)

ZSThousand Oaks, CA, United States
2 days ago
Job type
  • Full-time
Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

ADVANCED DATA SCIENCE ASSOCIATE CONSULTANT - INTERN

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

Advanced Data Science Associate Consultant (ADS AC) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. At the end of the internship, interns are evaluated and considered for a full-time employment offer.

What You'll Do

  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
  • Collaborate with ZS stakeholders to effectively integrate and communicate analysis findings
  • Evaluate and contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
  • Owning the development of select assets / accelerators for efficient scaling of capability
  • Contributing to the thought leadership of the firm by helping them in researching the evolving topics and support publishing them

What You'll Bring

  • PhD degree (in-progress) in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required
  • In lieu of a PhD, a Master's Degree (in-progress) with 3-5 years of relevant post-collegiate work experience
  • Knowledge of key AI-ML techniques / algorithms / advanced analytics concepts (E.g. Predictive modelling, text mining, recommender systems, social listening, Graph-based-models)
  • Knowledge of Deep Learning and AI Technologies (e.g. LLMs, Gen AI, Deep Learning and Transformers)
  • Familiarity with statistical methods (e.g. Bayesian Learning methods, Causal Modeling) and big data (e.g. PySpark)
  • Proficiency in data manipulation / data wrangling using industry standard tools (e.g SQL, Python-Pandas)
  • Excellent oral and written communication skills (fluency in English).
  • Strong attention to detail, with a research-focused mindset.
  • Excellent critical thinking and problem solving skills.
  • High motivation, good work ethic and maturity with the ability to adjust to a fast-paced environment.
  • Perks & Benefits :

    ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

    We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients / ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

    Travel :

    Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

    Considering applying?

    At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

    If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

    ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

    To complete your application :

    Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

    NO AGENCY CALLS, PLEASE.

    Find Out More At : www.zs.com

    #LI-DNI

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    Data Science Intern • Thousand Oaks, CA, United States

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