Apple Recruitment are recruiting for two Senior Data Scientists (Band 8A) on behalf of our
client based in the Belfast area.
Main duties and responsibilities:
Insight, Analytics and Modelling
• Produce modelled and statistical results for
relevant stakeholders.
• Lead projects and be responsible for the delivery of
models that produce longer term forecasts to support population health
planning.
• Draw on advanced academic knowledge and extensive
experience to continuously improve the methodologies used for predicting such
forecast profiles and evaluate their accuracy and reliability over time.
• Extract data from a variety of internal sources, supplementing
this with information from a variety of external sources to aid in the
interpretation of patterns in health service data.
• Analyse and manipulate complex and extremely varied
data from different databases, and consider the impact of data quality,
information governance and GDPR.
• Use specialist theoretical and practical knowledge
and extensive analytics expertise to identify issues, good practice, trends and
exceptions, as well as provide advice, make recommendations and propose
solutions to influence changes in decision making.
• Uncover stories told by the data and present
findings weekly to senior managers across the organisation to inform planning.
• Offer support, education and training to managers
and other users in the interpretation and analysis of statistical results and
modelled outputs, particularly where data is controversial or where different
components of that data may conflict.
• Continually review information requirements,
adapting information and insight production in response to changes both within
the department and within the organisation; identifying the need for new and
additional information in line with these changes.
• Represent the DHCNI Analytics team and lead on
various projects/groups, providing detailed advice and specialist information
surrounding statistics, analytics and modelling, and technical support.
• Ensure all deadlines for data insight and modelling
work are met by planning and organising work in response to continually
changing priorities.
Research & Service Development
• Lead on
data science projects within the DHCNI Analytics Team.
• Responsible
for coordinating and progressing the research and development ambition of the
data science team.
• Responsible
for completing grant applications where appropriate.
• Design
action plans, as directed by the Head of Clinical Informatics, based on detailed
knowledge, data gathering and analysis in collaboration with key stakeholders.
• Identify
new opportunities and uses for data internally.
• Be
responsible for the continuous improvement of the data science team.
• Responsible
for the testing of new models and decision support tool.
Communication
and Information Management
• Understand
the principles of the GPDR / Data Protection / Freedom of Information Acts and
their application within Management Information and keep up to date with any
changes. Apply this knowledge by ensuring that any information provided
complies with the provisions of these Act.
• Regularly
report analytical updates, offer recommendations and communicate assurance to
senior management and Executive team, using tact and diplomacy to influence
decision making with evidence-based insight.
• Accept
challenge, and be able to respond sensitively and tactfully within high pressure
environments, including when presenting possibly contentious and complex
information to Executives and external stakeholder.
• Present
detailed technical work and high-level organisational information to large
audiences and lead technical discussions for multi-disciplinary and national
groups.
• Present,
interpret and demonstrate complicated statistical and analytical theories/models
to large senior management groups to influence operational decisions.
• Lead
scoping phases for new projects, ensuring thorough and accurate capture of end
user needs, capabilities and system limitations.
• Liaise and
negotiate with internal and external customers to meet information requirements
in an efficient and cost effective way.
• Use
appropriate influencing skills when providing advice and support for internal
and external customers in the use and interpretation of data, particularly
where such data conflicts or does not support initial assumptions or
expectations.
• Use
statistical and modelling techniques appropriate to the audience to present
information and concisely communicate findings.
If you wish to apply or would like more information, please email your
CV in Microsoft word format to Caroline Parker by clicking on the
link below by Friday 15th November 2024.
You must also include a bullet pointed synopsis at the top of your CV demonstrating
how exactly you meet the Essential Criteria below:
1a.) A postgraduate degree in computer/data science with a strong
machine learning component AND 3 years’ experience working in an
analytics environment.
OR
1b.) Have at least 5 years’ experience working in an analytics environment.
OR
1c.) Two (2) years relevant work based experience.
2.) Proficiency in Python and/or R programming languages.
3.) Essential skills:
·
Excellent numerical
and statistical skills.
·
Confidence in
adapting to new software and programming languages.
·
Ability to manage /
organise own workload and plan work according to changing priorities and
deadlines.
·
Ability to scope, develop
and tailor decision support tools to meet users specification and requirements.
·
Project management
methodologies such as PRINCE2.
4.) Hold a current full driving licence which is
valid for use in the UK and have access to a car on appointment. This criteria
will be waived in the case of applicants whose disability prohibits driving but
who have access to a form of transport approved by The Organisation which will
permit them to carry out the duties of the post.
Desirable
Criteria:
1. Evidence of
continued professional development in the data science (or a related) field
through short courses, certificates, and
engagement in the data science community.
2. Practical
experience with machine learning techniques, visualisation best practice, simulation,
optimisation and advanced multivariate statistics.
3. Evidence of
working with stakeholders to establish and inform requirements in a setting
where data science is relatively new.
4. Experience
of teaching / showcasing the value data science techniques and approaches can
add to an organisation.
Further Details:
- Hourly Rate: £26.06
- Hours: 37.5 hours per week, Mon – Fri, 9am – 5pm
- Duration: Up to 3 months (with possibility of extension)
If you wish to apply or would like more information, please email your
CV in Microsoft word format to Daniel Finlay by clicking on the link
below by Friday 15th November 2024.
Applicants must ensure their CV is accurate and up to date. The CV
should include your full employment history inclusive of dates, all academic
achievements and full personal contact details.
Please note only applicants that match this criteria can be considered
for the role.
Apple Recruitment Services is acting as an Employment Agency in relation
to this vacancy.
Apple Recruitment Services is an Equal Opportunities Employer.