Cognitud - Associate Vice President - Data Science

Domain : Data & AI Services.

POSITION : AVP Data Science.

EXPRERIENCE : 10-17 Years.

LOCATION : PAN INDIA.

YOUR TEAM:

You are sought for an integral role in a prestigious IT services, consulting, and business solutions organization with a 50-year history of global partnerships.

As India's largest multinational business group, operating in 46+ countries, they boast over 500,000 highly trained consultants.

Pioneering financial markets infrastructure and data business, they seek your expertise to enhance their dedication to excellence in Data & Analytics, Capital Markets, and post-trade services through open-access partnerships to shape the future of global service delivery.

YOUR JOB:

- You should have a complete understanding of the current state of affairs and problem statement.

- Experience in data extraction and data manipulation in Python/R.

- Data analysis experience in identifying major trends, univariate and bi-variate analysis.

- Additional knowledge involving multi variate time series model is preferred.

- Understanding of SAS/R modules is advantage.

- Experience in data control and data automation.

- 9+ years of industry experience.

- Ability to manage team size of at least 1-2 members.

- SQL and any one of R/Python/SAS and Power BI/ Tableau.

- Project Management and Delivery.

- Data wrangling on large and complex databases.

- Experience maintaining ongoing processes.

Analytical Experience:

- The candidate will be responsible for leading analytics & consulting assignments for a US Insurance client with an objective to grow the account.

- Leading & mentoring a team of 20+ senior analysts & consultants across marketing, business, customer and data analytics.

- You will engage with the client's senior leadership to drive the vision and roadmap of the Data, Analytic & Insights team.

- Ability to play an active role in contributing to the growth and future of the business vertical.

- Ability to interface and network with the leadership and key decisions makers.

- Leverage data to help the Data, Analytics & Insights teams to get deep critical insights around product performance, pricing strategies, marketing analytics and any other business/product goals.

- Establish credibility as a thought leader & a critical influencer of business strategy based on data modeling and predictions.

Good to have:

- Modeling Experience.

- Client Engagement Experience.

- More consulting and analytics background.

- Experience in distribution techniques.

- Experience in Statistical modeling.

- You will be responsible for leading the analytics engagement for one of our Insurance clients.

- We are looking for a high-impact Analytics & Data Science leader to set the vision & strategy across business, customer, marketing & data analytics for clients.

- This position requires a strong understanding of digital merchandise analytics, brand campaign analytics, customer segmentation, product performance and experience running end-to-end analytics for large-scale organizations.

- Research, analyze, and present data as assigned.

- Develop detailed codes for data preparation and model scoring to be used in production.

- Prepare detailed documentation of predictive models and make oral presentations to the team lead.

- Assist in learning and development of new team members.

- Critically examine and deep dive into models.

- Identify and participate in continuous improvement initiatives.

CAPABILITIES:

- You should have a Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply.

- 9+ years' experience, preferably in analytics.

- Strong and in-depth understanding of statistical concepts.

- Prior experience in managing and delivering on end-to-end projects.

- Outstanding written and verbal communication skills.

- Able to work in fast fast-paced continuously evolving environment and ready to take up uphill challenges.

- Is able to understand cross-cultural differences and can work with clients across the globe.

QUALIFICATIONS : Bachelor of Engineering, Bachelor Computer Science or Master's Degree.

SKILLS : Predictive Modelling, Statistical modelling, Distribution techniques, Python, SQL.