Reed in Partnership has been delivering public services since 1998. We are a British, family-owned company, whose mission has always been to positively transform people and their communities. This is reflected in our services, which we deliver to help people from all backgrounds and circumstances to change their lives for the better.
Pay Range
SALARY: £40,000 to £47,000 dependent on experience
Working Hours/Pattern:
Monday – Friday 9am – 5pm or 8am – 4pm
In a week you will work from home 4 days and then 1 day in the office, the office is located at:
Watson Building, 4 Renshaw Street, Liverpool, L1 2SA
Occasionally you may be required to travel to some of our other offices across the UK for training and meetings.
This is a Full-time position, although we would be happy to consider applicants who are looking to work on a part-time basis. If you would like to explore this further please discuss this with the talent partner for this role. Please note our ability to accommodate flexible working arrangements will vary from role to role, dependent on business requirements.
Job Description
Are you a passionate and curious data professional who enjoys problem solving? Are you hungry to take on an exciting and dynamic data role with lots of opportunities for growth and development? Then consider the role of Data Scientist at
Reed in Partnership! The Data Scientist will be a part of the ‘Business Intelligence Team’ and more specifically the ‘Data Insights Team’. In the Data Insights Team, we craft robust, actionable, data-driven insights for senior leaders. Proactively delivering strategic projects which utilise Data Science, Machine Learning & AI. The Insight Analyst, Data Scientists and Machine Learning Engineer work together to deliver key strategic work to our stakeholders which include: The Continuous Improvement Team The Research Team The Bid Development Team The Finance Team The Systems & IT Teams The Senior Operational Teams Just some of your day-to-day responsibilities will include: Conceptualise and suggest new projects for you to undertake Plan and implement these projects Create engaging storytelling reports of your findings Liase with stakeholders to disseminate your findings Then assess the impacts of your projects In doing so you will work closely with others both in the data teams and the wider RinP Network by: Contributing and improving on other colleagues' projects Support the Insight and Machine Learning Analysts Building on existing work from other analysts Assist all areas of the business with complex problems You will investigate and report on the performance of business operations including: Identifying the narrative behind performance Viability of new implementations Assessing the impact of interventions Forecasting & predicting metrics utilising algorithms and models Preparing cohort performance statistics What’s in it for you? A generous base salary (pro-rata for part time), and great flexibility with your working schedule, we offer training, development and progression opportunities. You will have access to the range of Reed in Partnership benefits, which include: 25 days annual leave (pro-rata for part time) plus statutory bank holidays Reed Pension Scheme Award Winning Management & Leadership training Professional & Personal Development Funds Bi-annual pay reviews Plus much more that can be found on our website With the chance to dramatically make a difference to the local community, this role offers immense job satisfaction. At Reed in Partnership, we live and breathe our values in every decision and action taken, resulting in a collaborative and enjoyable culture within our offices. Our company values – we are fair, open and honest; we take ownership, and we work together. Where possible we consider applications from candidates that require part-time hours, please discuss with your Talent Partner if this is something you require. To be successful in this role, we are looking for: Able to identify business problems then build the solution using Data Science and Machine Learning Able to conduct feature selection, building, and optimising models Able to identify additional datasets and generate synthetic data Able to sound robust and replicable data practices to ensure quality delivery Able to communicate complex Data Science techniques to a lay audience Able to coordinate with cross-functional stakeholders Technical Skills Required Packages Significant Experience in
Data Manipulation
packages such as Python, R or Power Query Significant Experience
Querying
databases using SQL, NoSQL or MongoDB Experience Of
Data Visualisation
in Power BI or Tableau Experience working in
Cloud Platforms
such as Azure or AWS Understanding of
Data Warehousing
ideally with exposure to Snowflake or DataFactory Statistics Strong understanding Of
Descriptive Statistics
& Hypothesis Testing Significant Experience Of
Regressions Experience Of
A/B Testing
methodology Experience Of building
Forecasting
tools Experience implementing
Sentiment Analysis Significant Experience Of both
Qualitative & Quantitative
Analysis techniques Experience Of
Natural Language Processing
techniques Good understanding of
Neural Networks
and
Machine Learning
techniques Soft Skills Required Thinking & Behaviours Strong
problem-solving
skills with a
logical
and
deductive reasoning
approach Inquisitive nature with the ability to
question assumptions
and explore alternative solutions Proficient in
critical thinking
and conducting
research
to solve complex problems Effective
Time management
and
Organisational skills Embodiment of our company values of,
Honesty, Ownership & Working Together Presentational & Communication Capability to
tell stories
using data to persuade, engage and inform audiences Ability to create
compelling visualizations
to tell these stories Ability to identify technical and non-technical stakeholders and how best to communicate with them Ability to
collaborate
within large data teams We aim to ensure that no candidate or employee receives less favourable treatment on the grounds of gender, race, disability, sexual orientation, religion or belief, age, gender reassignment, marital or civil partnership status, pregnancy or maternity. We offer a guaranteed interview scheme for disabled applicants who meet the minimum criteria. Job Types: Full-time, Permanent Pay: £40,000.00-£47,000.00 per year Benefits: Company pension Work from home Schedule: Day shift Monday to Friday No weekends Education: Master's (preferred) Work Location: In person Reference ID: JR10002105
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Reed in Partnership! The Data Scientist will be a part of the ‘Business Intelligence Team’ and more specifically the ‘Data Insights Team’. In the Data Insights Team, we craft robust, actionable, data-driven insights for senior leaders. Proactively delivering strategic projects which utilise Data Science, Machine Learning & AI. The Insight Analyst, Data Scientists and Machine Learning Engineer work together to deliver key strategic work to our stakeholders which include: The Continuous Improvement Team The Research Team The Bid Development Team The Finance Team The Systems & IT Teams The Senior Operational Teams Just some of your day-to-day responsibilities will include: Conceptualise and suggest new projects for you to undertake Plan and implement these projects Create engaging storytelling reports of your findings Liase with stakeholders to disseminate your findings Then assess the impacts of your projects In doing so you will work closely with others both in the data teams and the wider RinP Network by: Contributing and improving on other colleagues' projects Support the Insight and Machine Learning Analysts Building on existing work from other analysts Assist all areas of the business with complex problems You will investigate and report on the performance of business operations including: Identifying the narrative behind performance Viability of new implementations Assessing the impact of interventions Forecasting & predicting metrics utilising algorithms and models Preparing cohort performance statistics What’s in it for you? A generous base salary (pro-rata for part time), and great flexibility with your working schedule, we offer training, development and progression opportunities. You will have access to the range of Reed in Partnership benefits, which include: 25 days annual leave (pro-rata for part time) plus statutory bank holidays Reed Pension Scheme Award Winning Management & Leadership training Professional & Personal Development Funds Bi-annual pay reviews Plus much more that can be found on our website With the chance to dramatically make a difference to the local community, this role offers immense job satisfaction. At Reed in Partnership, we live and breathe our values in every decision and action taken, resulting in a collaborative and enjoyable culture within our offices. Our company values – we are fair, open and honest; we take ownership, and we work together. Where possible we consider applications from candidates that require part-time hours, please discuss with your Talent Partner if this is something you require. To be successful in this role, we are looking for: Able to identify business problems then build the solution using Data Science and Machine Learning Able to conduct feature selection, building, and optimising models Able to identify additional datasets and generate synthetic data Able to sound robust and replicable data practices to ensure quality delivery Able to communicate complex Data Science techniques to a lay audience Able to coordinate with cross-functional stakeholders Technical Skills Required Packages Significant Experience in
Data Manipulation
packages such as Python, R or Power Query Significant Experience
Querying
databases using SQL, NoSQL or MongoDB Experience Of
Data Visualisation
in Power BI or Tableau Experience working in
Cloud Platforms
such as Azure or AWS Understanding of
Data Warehousing
ideally with exposure to Snowflake or DataFactory Statistics Strong understanding Of
Descriptive Statistics
& Hypothesis Testing Significant Experience Of
Regressions Experience Of
A/B Testing
methodology Experience Of building
Forecasting
tools Experience implementing
Sentiment Analysis Significant Experience Of both
Qualitative & Quantitative
Analysis techniques Experience Of
Natural Language Processing
techniques Good understanding of
Neural Networks
and
Machine Learning
techniques Soft Skills Required Thinking & Behaviours Strong
problem-solving
skills with a
logical
and
deductive reasoning
approach Inquisitive nature with the ability to
question assumptions
and explore alternative solutions Proficient in
critical thinking
and conducting
research
to solve complex problems Effective
Time management
and
Organisational skills Embodiment of our company values of,
Honesty, Ownership & Working Together Presentational & Communication Capability to
tell stories
using data to persuade, engage and inform audiences Ability to create
compelling visualizations
to tell these stories Ability to identify technical and non-technical stakeholders and how best to communicate with them Ability to
collaborate
within large data teams We aim to ensure that no candidate or employee receives less favourable treatment on the grounds of gender, race, disability, sexual orientation, religion or belief, age, gender reassignment, marital or civil partnership status, pregnancy or maternity. We offer a guaranteed interview scheme for disabled applicants who meet the minimum criteria. Job Types: Full-time, Permanent Pay: £40,000.00-£47,000.00 per year Benefits: Company pension Work from home Schedule: Day shift Monday to Friday No weekends Education: Master's (preferred) Work Location: In person Reference ID: JR10002105
#J-18808-Ljbffr
