At a Glance
- Tasks: Drive data-driven innovation and develop advanced machine learning solutions.
- Company: Join the UK's leading Social Enterprise dedicated to thriving communities.
- Benefits: Competitive salary, 35 days holiday, healthcare cashback, and ongoing training.
- Other info: Collaborative environment with strong focus on inclusion and career progression.
- Why this job: Make a real impact by solving complex business problems through data.
- Qualifications: Experience in machine learning, Python, SQL, and cloud platforms.
The predicted salary is between 31500 - 38500 £ per year.
Senior Data Scientist - Nationwide
At Places for People, we hire People, not numbers!
So, if you like the sound of one of our jobs, you could be just who we're looking for!
Of course, experience and track record are important, but we're more interested in hiring someone that embodies our People Promises.
That's someone that does the right thing, is enthusiastic and motivated to grow, believes in Community spirit, is respectful and enjoys their work.
As the UK's leading Social Enterprise we're dedicated to creating inclusive and thriving Communities for both our Customers and Employees.
So, what are you waiting for? Join a community that cares about you!
More about your role
As our Senior Data Scientist, you will play a leading role in driving data-driven innovation across the business.
You will apply scientific thinking to identify opportunities where data science can create value, develop advanced machine learning solutions and turn complex data into actionable insights.
Working closely with data engineers, analysts and business stakeholders, you will oversee the full model lifecycle from exploration and feature engineering through to testing, deployment and monitoring.
You will also support and develop junior team members through coaching and mentoring while ensuring all data science activities are delivered in line with data ethics and privacy requirements.
For more information download a copy of the job description.
This is an initial 6 month fixed term contract.
Essential Criteria
- Experience working as a Data Scientist with a strong track record of machine learning model development.
- Strong technical expertise in machine learning algorithms and model development using Python, R or similar technologies.
- Knowledge of SQL
- A proven track record of working with Cloud Platforms such as GCP, Azure or AWS,
- Demonstrable experience using data exploration, visualisation and statistical analysis techniques to generate business insights,
- Experience deploying and monitoring machine learning models within production environments.
- More about you
- You will be an experienced Data Scientist with a passion for solving complex business problems through data.
- You will have strong expertise in machine learning, statistical analysis and data visualisation, alongside experience delivering models into live environments.
- You will enjoy working collaboratively across technical and business teams, sharing your knowledge with others and helping to build capability within the wider data science function.
- Knowledge of data governance principles and how they support data science delivery would be advantageous.
At Places for People we are committed to a safe working environment so a basic DBS check is mandatory.
Benefits
- Competitive salary with regular annual review
- Pension with matched contributions up to 7%
- Bonus scheme for colleagues at 2%
- 35 days holiday (including bank holiday) with option to buy or sell days
- Healthcare cashback plan for everyday medical costs - up to 500 savings per year
- Access to wellbeing support such as counselling and flu jabs
- Private GP and health support services available
- Access to a rewards platform with retail and lifestyle discounts
- Savings on groceries, travel, shopping and home products
- Ongoing training and development opportunities
- Access to professional qualifications and career progression
- Internal development programmes and learning support
- Recognition schemes such as Star Awards and Colleagues Awards
- Strong focus on inclusion, wellbeing and colleague engagement
- Free membership to Places Gyms
- Safeguarding
At Places for People, safeguarding is everyone's responsibility.
We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect.
We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability.
Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment.
By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities
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Senior Data Scientist - Nationwide employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Nationwide
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Stryker Corporation before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Stryker Corporation.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Stryker Corporation.
We think you need these skills to ace Senior Data Scientist - Nationwide
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stryker Corporation, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Stryker Corporation, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Stryker Corporation’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stryker Corporation
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Stryker Corporation.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Stryker Corporation.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Stryker Corporation.
