Careers

Job description

About Advanced Data Science (ADS) : ZSs Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches.

Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community.

A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas:

• Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions
• Deliver client impact by collaboratively implementing these solutions
• Provide thought leadership by developing the ZS Point of View in this space

Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.

What Youll Do:

• Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects.
• Develop and implement data science strategies that align with the overall goals of the AI team and the organization.
• Drive business and strategy development through project delivery and client relationship management;
• Develop/sell new business opportunities
• Direct multiple projects simultaneously, honing analytic and project management skills;
• Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform;
• Motivate, coach and serve as a role model for project team members
• Provide thought leadership and innovation through research and publication.

What Youll Bring:

• PhD degree in Computer Science, Statistics or related discipline;
• 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute.
• Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.);
• Relevant programming background (e.g. Python/R);
• Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure);
• Proven track record of business development
• Agile project planning and project management experience;
• Team management and skill development experience;
• Relevant domain knowledge preferred; (healthcare, pharma);
• Excellent oral and written communication skills;
• Strong attention to detail, with a research-focused mindset;
• Excellent critical thinking and problem solving skills;

Role: Manager - Data Science

Industry Type: Analytics / KPO / Research

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

Job description

Role & responsibilities

• In depth knowledge in TPRM
• Knowledgeable in security concepts, techniques, tools, methods and practices
• Proven relationship management expertise with both business and technical personnel
• Articulates the value of security controls and their potential business Impacts
• Strong risk analysis, customer service, problem solving, and consulting skills
• Strong documentation skills to properly record appropriate responses in alignment with analysis.
• Ability to work well independently and in a team environment
• Ability to handle multiple tasks, prioritize and meet deadlines
• Able to participate in onsite and remote customer audits as requested and describe the TPRM program and related processes.

Role: Cyber Security

Industry Type: Advertising & Marketing (Digital Marketing)

Department: IT & Information Security

Employment Type: Full Time, Permanent

Role Category: IT Security

Education

UG: Any Graduate