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- Tasks: Join a talented team to solve complex data problems and deliver impactful solutions.
- Company: Hippo is a digital services partner focused on data-informed design and engineering.
- Benefits: Enjoy flexible work options, 25 days holiday, and a range of corporate perks.
- Why this job: Be part of a diverse team that values innovation and social impact in technology.
- Qualifications: Strong Python skills and experience with data science techniques are essential.
- Other info: Open to applicants nationwide with relocation support available.
The predicted salary is between 43200 - 72000 £ per year.
Hippo Greater Manchester, England, United Kingdom
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Hippo Greater Manchester, England, United Kingdom
1 week ago Be among the first 25 applicants
Join to apply for the Senior Data Science Engineer role at Hippo
This range is provided by Hippo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
About The Role
Hippo is recruiting for a Senior Data Science Engineer you join our growing consultancy. This role sits within our wider Data Engineering Team – you’ll be a part of a like-minded, talented and passionate group of Engineers who are delivering awesome things for our clients. We are looking for someone who is inquisitive, excels in solving complex data-centric problems, ready to explore and visualise data and bring their experience and knowledge on the importance on utilising data to aid in commercial decision making.
We are looking for someone to bring their experience from a commercial environment to this role – you will be working as part of the wider Data Engineering Team and will be involved in elements of Engineering that sit outside of traditional Data Science.
Please note, we are looking for candidates who are looking for growth at this level (senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role.
Requirements Of The Role
- Experience in developing and expanding Data Science capabilities
- Deliver business impact across all areas
- Solid experience working with concepts relevant to data ethics and privacy
- Understand product delivery from requirements to desirable business outcomes
- Develop complex solutions using a range of data science techniques, whilst understanding any ethical considerations
- Understand the role and benefits of data science within the organisation
- Support capability building within the organisation
- Collaborate with others to develop data science solutions and outputs supporting the organisation
- Prepare and manipulate data, and perform complex analytics
- Present and communicate effectively
About The Candidate
We need people who are open to new technologies, quick to adapt, and quick to learn. If you don’t have one of the following, please apply and we can discuss in more detail.
Skills And Experience That You Need
- Strong experience in Python and exposure to at least one other coding language (R, Java, SQL, etc.)
- Experience in Source Control and Version Control (e.g. Git)
- Excellent knowledge of databases such as SQL / NoSQL
- Experience with at least one Cloud Provider (AWS, Azure or GCP)
- Strong experience deploying and monitoring machine learning (MLOps), using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning
- Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.)
- Strong skills in data exploration, cleansing, modelling and presentation
- Strong experience in testing data models and Machine Learning Models
- Strong experience in data presentation and visualisation
Desirable Technical Experience
- Demonstrable experience applying natural language processing (NLP) to areas such as information retrieval
- Proven ability to design, build, and optimise recommender systems to deliver personalised recommendations to customers
- Strong experience in experimental design, including but not limited to A/B testing and randomised control trials
- Experience with customer data
About The Company
As well as a competitive salary which we’re transparent about from the outset, you can also expect a range of benefits:
- Contributory pension scheme (Hippo 6% with employee contributions of 2%)
- 25 days holiday plus UK public holidays
- Perkbox access for a wide range of discounts
- Critical illness cover
- Life assurance and death in service cover
- Volunteer days
- Cycle-to-work scheme for the avid cyclists
- Salary sacrifice electric vehicles scheme
- Season ticket loans
- Financial and general wellbeing sessions
- Flexible benefits scheme with options of:
- private health cover
- private dental cover
- additional company pension contributions
- additional holidays (up to an extra 2 days)
- wellbeing contribution
- charity contributions
- tree planting
Diversity, Inclusion and Belonging at Hippo
At Hippo, we’re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive.
We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.
Hi, we’re Hippo.
At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We\’re a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes.
We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world.
Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We\’re confident in our abilities, authentic in our approach, and passionate about what we do. If you\’re looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact.
Hippo locations
We are headquartered in Leeds and located across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We\’re on the lookout for top talent nationwide, so don\’t let location hold you back from applying. We welcome candidates from all over the UK who possess the flexibility to work from any of our locations. Plus, we offer a generous relocation support package of up to £8k to help make your move a smooth one. It\’s worth noting that, given the dynamic nature of our business, you may be required to work on-site at client locations or from your own home.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Consulting and Information Technology
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Industries
Design Services, IT Services and IT Consulting, and Business Consulting and Services
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Senior Data Science Engineer employer: Hippo
Contact Detail:
Hippo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer
✨Tip Number 1
Familiarise yourself with the latest data science tools and technologies mentioned in the job description, such as MLflow and AWS Sagemaker. Being able to discuss these tools confidently during your interview will show that you're proactive and well-prepared.
✨Tip Number 2
Network with current or former employees of Hippo on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data science to drive business impact. Be ready to explain your thought process and the outcomes of your projects, as this aligns with Hippo's focus on delivering value through data.
✨Tip Number 4
Show your enthusiasm for continuous learning and adaptability. Highlight any recent courses or certifications you've completed related to data science or machine learning, as Hippo values candidates who are open to new technologies and quick to learn.
We think you need these skills to ace Senior Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and engineering. Focus on your skills in Python, machine learning, and any cloud platforms you've worked with. Use specific examples to demonstrate your impact in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Hippo and how your background aligns with their needs. Mention your experience with data ethics, collaboration, and problem-solving, as these are key aspects of the position.
Showcase Your Technical Skills: Be explicit about your technical skills in your application. List programming languages, tools, and frameworks you are proficient in, such as SQL, Git, and MLOps tools. Highlight any projects where you've applied these skills effectively.
Demonstrate Cultural Fit: Hippo values diversity and inclusion, so mention any experiences that showcase your commitment to these principles. Discuss how you can contribute to a collaborative and innovative environment, aligning with Hippo's mission and values.
How to prepare for a job interview at Hippo
✨Showcase Your Technical Skills
Make sure to highlight your strong experience in Python and any other coding languages you know. Be prepared to discuss specific projects where you've used these skills, especially in data manipulation and machine learning.
✨Demonstrate Problem-Solving Abilities
Hippo is looking for someone who excels at solving complex data-centric problems. Prepare examples of challenges you've faced in previous roles and how you approached them, focusing on the impact of your solutions.
✨Understand Data Ethics
Given the importance of data ethics and privacy in this role, be ready to discuss your understanding of these concepts. Share any experiences where you've had to consider ethical implications in your work.
✨Communicate Effectively
Since you'll be collaborating with others, it's crucial to demonstrate your communication skills. Practice explaining complex data science concepts in simple terms, as well as how you've presented data insights to stakeholders in the past.
