Data Scientist (Lead)

Job Type: Permanent - Full Time

Location: Hyderabad

Job Category: Data Management

Job Description

Role Summary

The Lead Data Scientist, Foundational Analytics is pivotal in ensuring that core data assets support the growth of our business. The appointed Lead will be required to apply their experience in managing a range of analytical resources and functions to develop a centre of excellence for analytic capabilities, fostering a culture of innovation, collaboration and expertise. They will work collaboratively with key stakeholders across the business to understand and set appropriate analytical strategies that support business growth, and apply these strategies to their business planning, and in particular support business growth initiatives through allocation of appropriate resources, subject matter expertise and long range planning. They will act as experts in developing the way we manage our foundational data assets and drive innovative analytical solutions that create value. They will also work with Data Engineers and implementation teams on solution design and with business stakeholders on change management.

Key Responsibilities

• Develop relationships with key internal and external stakeholders across Quantium to understand and support the strategic goals and key initiatives of the company
• Develop and execute strategy and business plans for the ongoing development of our foundational data assets
• Manage Lead and Senior Analysts in other verticals to achieve business plan goals on an ongoing basis across a variety of teams
• Set and manage aligned KPIs across one analytics team focussed on a single data partner
• Develop a culture of innovation and analytic excellence by focussing on development of existing team members and hiring the best talent available
• Drive accountability within the teams to achieve deadlines and the best possible analytic outcomes
• Support growth of the business through implementation of capabilities that streamline the ingestion and preparation of new data assets
• Support development of technology solutions that focus on automation of solutions, operational excellence and innovation by working with implementation and technology teams on solution design
  
  

Key activities

• Set and manage business plans for three or more foundational data assets including data curation, customer segmentation and other foundational analytics
• Engage with business and external stakeholders to gather feedback and requirements to drive the foundational analytics roadmap for key business initiatives
• Set up regular forums to engage stakeholders across the business that use these foundational data assets to receive and give feedback on current and future initiatives and ensure they are supported appropriately
• Manage the high-level prioritisation process across teams including the use of WIPs, charter cards and business plans which are reviewed by the team on a regular basis, and manage stakeholders’ expectations regarding timeframes
• Develop and implement resource plans to support business plans and roadmaps
• Responsible for team recruitment, for both external and internal candidates
• Ensure tailored performance plans and KPIs are set, monitored and managed on a regular basis for all team members
• Provide coaching and support to direct reports to develop their management and analytical capabilities
• Monitor and approve technical designs that implement analytical outcomes and models
• Drive a culture of innovation by engaging with analysts across the team through a variety of forums including one to ones, skip level meetings, lunch time sessions and analytical showcases
• Foster a cohesive team spirit through team meetings, awards and strong communication
• Taking a structured and analytical approach in troubleshooting data issues and problems
• Performance manager for junior team members and enabling the team to succeed by resolving issues and building on strengths
  
  

Qualifications

• Strong background and understanding of data structures, data manipulation and transformation
• Previous experience in the fields of data science or high-level data analysis; data modelling experience highly regarded
• Previous experience working directly with Big Data Engineers highly regarded
• Previous experience with project management and people management
• Proven ability and experience in optimising performance of an existing process with a can-do attitude
• Desire to work with a team of feedback-driven analysts and developers in a cross-functional and agile environment
• Lead level data science/data analytics and management of one or more team of analysts
• Variety of analytical roles preferred, including consulting
  
  

Skills Required

• Sound knowledge of technical analytics discipline, including data preparation, feature engineering and foundational analytics concepts, preferably including model development and model training
• Sufficient skills in several disciplines or techniques to autonomously apply without the need for material guidance or revision by others; and
• Sufficient skills in at least one discipline or technique to be an authoritative source of guidance and support for the team, and to be able to solve problems of a high technical complexity in this domain
• Strong problem-solving skills, including ability to apply a systematic problem-solving approach
• Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines
• Very strong client and stakeholder management skills
• Ability to autonomously carry out work following analytics best practice as defined at Quantium for the relevant types of tools or techniques, suggesting improvements where appropriate
• Ability to motivate peers to follow analytics best practice as defined at Quantium, by positively presenting the benefits and importance of these ways of working
• Commercial acumen to understand business needs and the commercial impacts of different analytics solutions or approaches
• Attention to detail
• Drive for continuous improvement