IND (New) Executive Manager - Data Science - wiq

Hyderabad, Telangana, India | Global Markets | Full-time | COVID-19 remote

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Founded in 2002, Quantium combines the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Our solutions make sense of what has happened and what will, could or should be done to re-shape industries and societies around the needs of the people they serve.

As one of the world’s fully diversified data science and AI leaders we operate across every sector of the economy and we’re growing fast - with growth comes opportunity! We’re passionate about building out our team of smart, fun, diverse and motivated people.

We combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for our clients.

We actively foster a culture where our people can stretch themselves to reach their full potential.
We also know that work has to work for you, and modern life is fast-paced and balance can be tricky. You want to work where you are respected and valued as an individual, not a number. Quantium embraces a flexible and supportive environment dedicated to powering possibilities for our team members, clients and partners.

Role Summary

This role is to be the technical subject matter expert in data analytics for the Quantium India business. Reporting to the Executive, Head of India, the role supports and drives analytical outcomes for internal stakeholders within Quantium and external clients alike. The key focus is to oversee the technical scoping, build and delivery of all analytics projects in Quantium’s India office. This will require coaching, inspiring and developing technical analytics professionals to build high-performing teams that deliver quality outcomes whilst managing complex projects. Success will see you partnering with internal clients as a trusted analytical advisor to deliver high-quality and impactful solutions for external clients. Success will also be the improved technical capability of the Indian analytics team to deliver technically excellent outcomes.

Key Responsibilities 

  • Drive and continuously engage with stakeholders on development of analytics solutions
  • Communicate and translate business needs against analytics solutions or outcomes to both technical and non-technical audiences
  • Form effective partnerships with mid to senior stakeholders to achieve goals
  • Align and influence stakeholders on better outcomes, balancing both commercial and technical perspectives
  • Set and prioritise the roadmap when considering "analytics as a product" over a 12-month time horizon, setting the long-term vision and goals in confluence with key stakeholders
  • Pro-actively seeks to link analytical outputs to commercial outcomes and size their impact and implications across broader scope
  • Strategically plan and direct work for a production pipeline. Make a sensible trade-off between maintability / resilience and speed of implementation
  • Guiding data exploration / investigations, transformations and understands trade-offs between competing technical and commercial priorities. Set up model pipelines on GPUs, API calls and production data pipelines
  • Explain commercial decisions to team
  • Deliver high quality technical solutions with high commercial client value to improve and reinforce external and internal client relationships
  • Build a high performing analytics team in India including supporting recruitment of new talent

Key Activities

  • Design and be accountable for the analytical solution. Provide thought leadership and advise the strategic direction for the product (data and model pipeline)
  • Improve the technical ability of Data Scientists so that they develop better analytics assets and methodologies, translating insights into meaningful, actionable advice
  • Apply judgement, commercial acumen, and intelligence to make considered decisions or come to practical conclusions where there is natural ambiguity
  • Provide expert knowledge to internal clients and stakeholders and make recommendations to create value and enhance the relationship with both internal and external clients
  • Oversee the preparation of presentations for senior stakeholders, including external clients, to communicate complex analytics and insights
  • Guide, inspire and coach Data Scientists on best practice technical and QA approaches
  • Oversight of project management activities to ensure Leads are supported and empowered to run projects to quality, time and budget
  • Senior stakeholder management across verticals
  • Participate in the recruitment process for Analytics talent. Drive learning & development initiatives to help close capability gaps and to support the professional development of the India Analytics Community
  • People management including setting objectives and KPIs, performance reviews, feedback, career mentoring and career pathing for direct reports
  • Support the Executive, Head of India to embed the Quantium culture in the India office

Skills and Knowledge Required

  • Strong coding proficiency in either Python or R (required)
  • Experience coding in SQL advantageous
  • Understands and puts in practice source code control / versioning frameworks using tools like Git
  • Experience using cloud storage and analytics platforms such as GCP, AWS, Azure advantageous
  • Forecasting experience preferred but not required
  • Experience developing and reviewing predictive / ML models on structured datasets (at scale)
  • Experience in improving modelling processes and driving continuous development
  • Experience using GBM (XGBoost) advantageous
  • Experience deploying predictive / ML models into production (at scale), involving E2E running of data pipelines, scoring, and monitoring
  • Experience with automated model maintenance frameworks advantageous
  • Experience working with ML engineers (MLOps) advantageous
  • Experience driving development and team collaboration across multiple office locations and time zones advantageous
  • Understands Agile frameworks and able to tailor the ways of working to drive development and improve the team experience
  • Retail experience preferred but not required

Experience and Education Required

  • 8+ years’ experience in an analytics environment, leading data analytics or data science projects. Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
  • Experience working within one of Quantium’s key industry verticals, either as an external or internal consultant desirable
  • Solid experience and knowledge of technical analytics, including data preparation, foundational analytics concepts, analytical model development, model operationalisation, model performance measurement, model management and model training
  • Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
  • Demonstrable ability to proactively identify, understand and translate strategic business needs into technical opportunities and solutions for new and existing clients to build lasting partnerships Ability to translate complex analytics, insights and/or outcomes into presentations (written and verbal) to senior stakeholders (both internal and external) in simple terms demonstrating value to the business
  • Strong attention to detail and problem-solving skills
  • Experience in project management and inspirational leadership, including effective delegation and management of multi-skilled team, to deliver projects on time and on budget
  • Experience in managing and coaching the performance and development of others by bringing out the best in them
  • Experience using team collaboration tools like Jira and Confluence and driving adoption across the team
  • Experience working in cross-discipline teams and understands what / when different roles are required to complete tasks
  • Experience driving development and team collaboration across multiple office locations and time zones advantageous
  • Collaborative and engaging style with an ability to understand what matters to stakeholders 

More about Quantium

As one of the world’s fully diversified data science and AI leaders we operate across every sector of the economy and we’re growing fast - with growth comes opportunity! We’re passionate about building out our team of smart, fun, diverse and motivated people.

We combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for our clients. 

We actively foster a culture where our people can stretch themselves to reach their full potential. We also know that work has to work for you, and modern life is fast paced and balance can be tricky. You want to work where you are respected and valued as an individual, not a number. Quantium embraces a flexible and supportive environment dedicated to powering possibilities for our team members, clients and partners.

Quantium are an equal opportunity employer and value diversity. We are a multicultural team of various beliefs, sexual orientations and gender identities. We celebrate our diversity of race, religion, colour, national origin, gender, sexual orientation, age, marital status and disability status.

Please note, this role is not suitable for Graduates. If you are a graduate and you’d like information about our Graduate Academy please visit https://au.gradconnection.com/employers/quantium/about-us/

If you submit an application or expression of interest to The Quantium Group Pty Ltd, we may disclose your application or expression of interest on a confidential basis to our related companies, and joint venture companies, including our Parent Group - Woolworths Group Limited.  We will only make such disclosures for the purpose of considering your application or expression of interest and opportunities in those organisations.

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