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.
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!
We are on a mission to be the partner of choice for developing people and their communities. Reed in Partnership is a public service provider specialising in skills training for the long-term unemployed, increasing employment opportunities by working with employers and providing youth services.
Internal applications for this role close on 29/01/2025
What is the role about?
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:
In this role, you will be given full ownership of your work and a high level of autonomy. You will be empowered to:
* 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 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.
To be successful in this role, we are looking for:
The ideal candidate for this role will be:
* 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 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. #J-18808-Ljbffr