Data Scientist
On site
Manchester, United Kingdom
£ 470 / day
Freelance
29-10-2024
Job Specifications
Job purpose
To leverage data science to drive the strategic direction of our data-driven initiatives, enhancing decision-making and operational efficiency. The role focuses on applying machine learning, statistical analysis, and data mining techniques to predict, classify, and uncover insights from the organisations data.
Main Duties:
Innovation:Work with the wider organisation to identify opportunities for the use of data science techniques to support business processes, maximise insight and drive benefits realisation.
Data Visualisation and Communication:Create and present clear visualisations to convey complex data insights to non-technical stakeholders. Utilise storytelling to make data accessible and actionable
Collaboration with Digital, Data, and Technology Teams:Work closely with Data Engineers and other IT professionals to ensure data quality and accessibility. Collaborate on the integration of AI and machine learning technologies into systems and processes.
Innovation and Continuous Learning:Keep abreast of the latest data science trends and technologies. Experiment with new tools and techniques to enhance analytical capabilities.
Stakeholder Engagement:Engage with internal and external stakeholders to understand business needs and deliver data-driven solutions. Act as a subject matter expert in data science, confidently sharing knowledge and highlighting the potential opportunities and limitations.
Decision Support:Use data to support strategic and operational decision-making processes, including providing recommendations based on predictive modelling and analysis.
Ethical Oversight:Scrutinise data sources and algorithms for bias, ensuring privacy and compliance with data protection laws, and promoting transparency and fairness in all data science activities.
Essential experience
Technical Proficiency: Strong skills in programming languages like Python or R, and tools such as SQL, TensorFlow, or PyTorch.
Strong Analytical and Problem-Solving Skills: Ability to translate complex data into actionable insights. Creative in finding solutions to data challenges.
Effective Communication: Skilled in presenting complex data insights in a clear, concise manner to a non-technical audience.
Team Collaboration: Demonstrated ability to work effectively in multidisciplinary teams.
Adaptability and Continuous Improvement: Open to learning and adapting to new technologies and methodologies. Commitment to personal development and fostering a learning culture within the team
Methodical Approach: Ability to approach complex data projects with a systematic and organised methodology, ensuring accuracy and efficiency
A practical knowledge of data science tools and techniques, such as machine learning and natural language processing, and how to apply them at an operational level.
A strong understanding of the mathematical principles underlying machine learning algorithms
Awareness of data privacy, security, and ethical considerations in data science work.
Familiarity of the Microsoft ML stack, MLOps and Git would be beneficial.
Knowledge of research and relevant research methodologies to produce meaningful insight, particularly in a public sector setting
Educated to degree level or with equivalent relevant professional experience
About the Company
We're a leading global recruitment agency, specializing in digital talent and our mission is to create futures to make your life easier. Recruitment is the process of seeking out the best person for a job and the best job for a person. At Salt, not only do we strive for the best today, but to create the best future for all in an ever-changing digital world. We see digital recruitment as working with businesses and candidates through digital disruption, innovation, transformation, and business change. Our consultants are ... Know more
Related Jobs
- Company Name
- Empiric
- Job Title
- DV Cleared Data Engineer
- Job Description
- We are looking for several skilled DV Cleared Data Engineers for a long term outside ir35 contract with a Defence customer of mine. Skillset; Python Apache Spark, Apache Airflow, Apache nifi Git/GitHub Object storage Servers (ie MinIO) Details: Active DV clearance (used within last 12 months) Sole British National Based Hybrid in Central London (3 days onsite) Outside Ir35
- Company Name
- Fruition IT
- Job Title
- Azure Data Engineer
- Job Description
- Job Title: Azure Data Engineer Duration: 3 months with scope to extend Contract: Market rate Outside IR35 Location: UK Remote I am currently recruiting for an Azure Data Engineer to join a leading professional services organisation based in West Yorkshire. You will take responsibility over the consolidation and transformation of data from multiple sources, leading data manipulation tasks to meet specific formats and outputs, with an end-to-end focus on accuracy and compliance. Required Skills/Experience Expert ability in Azure - Databricks and Data Factory Strong proficiency in ETL Diplomatic stakeholder style Good understanding of Python, SQL and Pyspark If this role would be of interest, then please apply to this advert and I will be in contact to give you more detail. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
- Company Name
- McGregor Boyall
- Job Title
- Senior Product Owner - Data & Analytics
- Job Description
- One of our public sector clients is looking for a Product Owner to join their Data & Analytics Team. You will join an ongoing project and provide expertise to assist with the creation and ongoing maintenance of the Product Backlog. You will work with the D&A development team and be responsible for ensuring there is a steady flow of PBI's for the teams. Essential skills & experience; experience of implementing data & analytics systems and products using Azuretech stack - essential Strong experience of backlog development and obtaining product feedback user story creation expert in highlighting product risks and determining suitable course of action. continuous assesment of product processes. proposing changes to enhance efficiency working in an agile environment experience leading refinement sessions within development teams strong stakeholder management skills, mentoring capabilities. capable of managing conflict to prioritise outcomes for teams. This is a 12 month contract with possible extensions. You will work hybrid and as such are required on-site in London office 2 days per week. Competitive day rate on offer around £600 (inside ir35) If interested, please apply via the ad. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
- Company Name
- Access Computer Consulting Plc
- Job Title
- 088 - Data and Analytics Senior Product Owner
- Job Description
- Senior Product Owner - Data and Analytics - AGILE - 12 months - INSIDE IR35. Senior Product Owner (Data and Analytics) required for a 12 month hybrid assignment, with 1 to 2 days per week based in South East London. The Project is centred around the existing Data Science model and propose architecture/model improvements. The Senior Product Owner you will provide Agile expertise to ensure backlogs are constantly maintained, prioritised, and give full coverage of the requirements, between the development team and the business stakeholders. You will be accountable for ensuring that development work is effectively prepared, scheduled and managed. Experience in technical systems and data analysis. Expert knowledge of Data Quality, Data availability and latency, Data Inconsistencies, Data Accuracy Experience of implementing data & analytics systems and products using Azure tech stack. Review the existing Data Science model and propose model improvements. Review the proposed architecture and propose improvements whilst considering our strategy and costs. Document CI/CD for a machine learning models within the controls of Data and Analytics. Senior Product Owner is responsible and accountable for the creation and ongoing maintenance of the Product Backlog Experience of implementing data & analytics systems and products using Azure tech stack Develop strong, effective backlogs in an agile environment, including gathering requirements, developing effective user stories, and gathering feedback. Communicate with non-technical stakeholders about complex technical concepts. Experience in Agile, Sprint cycles and Scrum. Understanding of DevOps and microservice APIs. Mentor and support other Product Owners and team members. Skilled at solving and communicating issues collaboratively, applying knowledge and technology to the full. An able influencer of the team and of specialist peers within the department, and of customers and business stakeholders at all levels. please send a CV in the first instance.