IND (New) Data Scientist, Data Management

Location: Hyderabad,Telangana,India

Quantium
For over 20 years Quantium have combined 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
The Analyst, Product Analytics role is an individual contributor role within a cross-functional team
accountable for the delivery of a product roadmap. Working together with the Lead Data Analyst, Executive
Managers and other technical specialists from analytics and software engineering disciplines, the Analyst
will support Senior Analysts and Analytics Leads in the design, specification and fulfillment of Analytic
solutions. This includes development, testing and delivery of analytic files for consumption by customers.
Key responsibilities
In collaboration with a wider team of analysts, deliver advanced analytics solutions for one of
Quantium’s products
Desire for learning and acquisition of key analytical, technical and commercial skills and
Quantium business knowledge to become a proficient Analyst working under minimal supervision
Help internal stakeholders understand and optimise use of Quantium products
Develop thorough knowledge of the commercial application of data rules and standards
Ensuring customer deliverables meet the quality standards of our customers
Manage your career progression and acquisition of industry knowledge
Key activities
Data extraction and manipulation
Delivery of tasks to support a product roadmap and BAU product operation tasks, working in a
cross-functional team managed by a Lead Analyst, Product Lead or Delivery Manager
Classification: Public page 2
Creation of analytics approaches to solve business problems in a scalable and repeatable way
using automation where possible
Design, development or testing of an analytics algorithm, including prototyping
Developing the specifications for an analytics algorithm to be implemented by software engineers
Peer reviewing the work of other analysts (both conceptual and documentation)
Carrying out a process required for BAU delivery of any aspect of the product that needs regular
production
Investigating objections or issues raised by users
Following best practice guidelines, tools and formal processes for analytics practised at
Quantium
Responding to the queries of internal and external customers of the product and communicate
updates relating to delivery of new features and BAU
Providing estimates of work effort, timeframes and costings for analytics tasks. Peer reviewing
estimates developed by team members
Taking active steps to continuously improve own performance and drive own career development
Taking active steps to drive improvement in the knowledge, capability level and quality of work of
Associate Analysts and Analysts in own team
Participation in Analytics Community initiatives, such as Analytics Review for other projects,
organisation or facilitation at events, etc.
Experience and education required
To be successful in this role the key competencies required include:
3-5 years’ experience in a highly operational analytics environment, carrying out data analytics or
data science work
Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a
related discipline
Sound knowledge of technical analytics discipline, including data preparation, experiment design,
feature engineering and foundational analytics concepts, model development and model training
Sound knowledge of one or more technical tools and coding languages that are used for
analytics
o A broad range is used at Quantium and the concepts are transferable, so we do not
require a specific set of tools
o However, some tools and programming languages that might qualify include (in no
particular order): R, Python, SQL, Scala, Haskell, SAS, MATLAB, S-Plus, C/C++, Perl
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
Solid 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
Commercial acumen to understand business needs and the commercial impacts of different
analytics solutions or approaches
Attention to detail
Drive for continuous improvement
What does success look like?
After 3 months in the role the incumbent will be:
able to apply in-depth professional knowledge and understanding to technical or business
problem solving
knowledgeable and able to speak confidently about Quantium’s products and solutions
across all the processes required to deliver against the role
able to work under minimal supervision
Classification: Public page 3
After 12 months in the role the incumbent will:
be able to apply theoretical and practical knowledge in owning additional and more complex
tasks within the end-to-end analytical solution with minimal guidance and support from senior
analysts
demonstrate proactivity in owning tasks and seeking development opportunities with support
from more senior team members (e.g. attending knowledge sharing sessions, determining
development areas, seeking relevant work experience)
proactive communication on work progress and escalating complexities with relevant
stakeholders
proactively engage with wider team to identify and implement any improvement initiatives
contribute to coaching and guiding any junior team members
Key People and Leadership capabilities required
1. Self-aware - you leverage diversity across people, tasks, client interactions and projects,
taking responsibility for self and other
2. Agile and innovative - you possess strong lateral thinking skills and actively develop these in
others
3. Achieve and perform - you have exceptional execution skills and are achievement focused
4. Brand advocate - you anticipate and consider brand and cultural impact in decision making
5. Purposeful and aligned - you are able to set clear, tangible objectives which deliver against
our strategy
6. Achievement oriented - you effectively facilitate challenging performance related
conversations in a timely and appropriate manner
7. Coach - you demonstrate the ability to coach and develop others while facilitating learning,
growth and engagement