Job Title: Sr Data Scientist
Location:
Hybrid Starting Salary:
Competitive About Us:
Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.
Why Evolution:
Dynamic Data Opportunities:
Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.
Ongoing Data Learning:
Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.
Mentoring and Coaching:
Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field.
Job Description:
Key Responsibilities
Advanced Modelling:
Oversee the development and deployment of advanced predictive models and machine learning solutions using
Python . Data Engineering and Pipelines:
Collaborate with data engineering teams to design and optimise scalable data pipelines using
SQL
and
AWS . Cloud Integration:
Manage cloud-based solutions on
AWS , ensuring efficient model deployment, scalability, and performance. Version Control and Deployment:
Implement and oversee
Azure DevOps (ADO)
practices, including CI/CD pipelines, version control, and deployment processes. Stakeholder Collaboration:
Act as a key point of contact for stakeholders, translating business needs into technical solutions and ensuring project alignment with objectives. Visualisation (Optional):
Support business reporting and insights through
Power BI
dashboards (nice to have). Process Optimisation:
Identify opportunities to improve workflows, enhance data governance, and standardise data practices across teams. Documentation and Reporting:
Ensure comprehensive documentation of models, processes, and projects for transparency and knowledge sharing. Requirements
Experience: 4-5 years of experience in data science or a related field. Technical Skills: Expertise in
Python
for advanced analytics, machine learning, and automation. Proficiency in
SQL
for querying and transforming large datasets. Strong experience with
AWS
for cloud-based data solutions and model deployment. Hands-on experience with
Azure DevOps (ADO)
for version control and CI/CD pipelines. Knowledge of
Power BI
for data visualisation is a plus. Soft Skills: The ability to motivate and guide a team toward achieving objectives. Excellent communication skills, capable of translating technical concepts for non-technical stakeholders. Strategic problem-solving and decision-making abilities. Strong project management skills with the ability to prioritise and manage multiple projects simultaneously. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Additional certifications in AWS, machine learning, or project management are advantageous. This role combines leadership capabilities with strong technical expertise, making it ideal for a data science professional with 4-5 years of experience looking to take on a managerial position.
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Hybrid Starting Salary:
Competitive About Us:
Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.
Why Evolution:
Dynamic Data Opportunities:
Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.
Ongoing Data Learning:
Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.
Mentoring and Coaching:
Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field.
Job Description:
Key Responsibilities
Advanced Modelling:
Oversee the development and deployment of advanced predictive models and machine learning solutions using
Python . Data Engineering and Pipelines:
Collaborate with data engineering teams to design and optimise scalable data pipelines using
SQL
and
AWS . Cloud Integration:
Manage cloud-based solutions on
AWS , ensuring efficient model deployment, scalability, and performance. Version Control and Deployment:
Implement and oversee
Azure DevOps (ADO)
practices, including CI/CD pipelines, version control, and deployment processes. Stakeholder Collaboration:
Act as a key point of contact for stakeholders, translating business needs into technical solutions and ensuring project alignment with objectives. Visualisation (Optional):
Support business reporting and insights through
Power BI
dashboards (nice to have). Process Optimisation:
Identify opportunities to improve workflows, enhance data governance, and standardise data practices across teams. Documentation and Reporting:
Ensure comprehensive documentation of models, processes, and projects for transparency and knowledge sharing. Requirements
Experience: 4-5 years of experience in data science or a related field. Technical Skills: Expertise in
Python
for advanced analytics, machine learning, and automation. Proficiency in
SQL
for querying and transforming large datasets. Strong experience with
AWS
for cloud-based data solutions and model deployment. Hands-on experience with
Azure DevOps (ADO)
for version control and CI/CD pipelines. Knowledge of
Power BI
for data visualisation is a plus. Soft Skills: The ability to motivate and guide a team toward achieving objectives. Excellent communication skills, capable of translating technical concepts for non-technical stakeholders. Strategic problem-solving and decision-making abilities. Strong project management skills with the ability to prioritise and manage multiple projects simultaneously. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Additional certifications in AWS, machine learning, or project management are advantageous. This role combines leadership capabilities with strong technical expertise, making it ideal for a data science professional with 4-5 years of experience looking to take on a managerial position.
#J-18808-Ljbffr
