Data Scientist - Pune

The Opportunity

Our mission is to change the way the world works by democratizing AI for every business, and to build a great company that everyone loves being a part of. These two goals haven’t changed since the days when Peak was little more than an idea forming in the heads of our founders Richard, Atul and Dave.

At Peak, we’re revolutionizing inventory and pricing optimization with the only AI platform that consistently delivers real commercial gains. By joining our team, you’ll contribute to helping some of the world’s leading businesses — including the likes of Nike, Heidelberg Materials and Boohoo — harness the potential of AI to grow revenues, increase profits and efficiencies.

We have ambitious plans for the future and that means we're looking to welcome new people to our team. At Peak, culture and success come hand in hand — so creating and protecting a company culture that’s true to our values remains a fundamental aspect of our mission. Our company values are built on being Smart through expertise and results, Curious in our relentless problem-solving, Open with an approachable and helpful mindset, Driven by ambitious goals and commitment, and Responsible by taking ownership and delivering with trust.

We’re proud to be a team who have now joined forces with UiPath to build a world-class agentic AI offering.

Purpose of the role

We are looking for a junior data scientist to join our professional services team. You will be working with customers across multiple sectors; applying data science, machine learning and AI to overcome real life commercial problems and generate measurable value.

The Role

The role is multi-faceted, and involves working closely with our customers, our product and sales teams, as well as other data scientists and engineers. You will be responsible for building solutions for our customers and ensuring that they love using Peak.

• You will work with our customers to understand their business needs, translate requirements into technical solutions, and communicate results effectively to both technical and non-technical stakeholders.
• You will deploy, configure and integrate our inventory and pricing products, making sure they work for our customers and generate value.
• You will design, develop, and implement predictive models, including demand forecasting, price elasticity analysis, and inventory optimization algorithms to supplement our products and add extra value for our customers.
• You will analyze data and generate insights to help our customers understand their business better, to understand the value of our products, and to position upsells for future work.
• This position requires a high degree of independence and responsibility and there is considerable opportunity to expand the role as Peak grows.

Personal Skills

We’re looking for enthusiastic problem-solvers with experience in machine learning, data science and AI. You must be enthusiastic about the discipline, excited by novel applications that these techniques offer, and have the ability to communicate your understanding and findings clearly to experts in other disciplines. We are looking for teammates who are:

• Open - excellent verbal and written communication skills, including the ability to clearly communicate complex information to those in other disciplines.
• Driven – shows high levels of drive, energy, resilience and a desire for professional excellence.
• Curious - naturally inquisitive with a problem-solving mindset.
• Smart – keeps up to date with the latest data science news, market results and industry announcements.
• Responsible - effectively balance priorities and work productively as part of the team.

Required Experience

We are looking for:

• Experience in one or some of - statistical modelling, machine learning, AI, data science, forecasting, optimization.
• Programming skills/concepts and the ability to pick up new technology with ease. Prior experience in R, Python and/or other statistical tools/languages are a plus.
• Familiarity with relational databases and intermediate level knowledge of SQL are a big bonus as you’ll be working with different datasets.
• Sound understanding of a wide range of statistical techniques.
• The ability to understand and present findings to a non-technical audience. Prior experience in data visualization and/or deriving insight from a wide variety of data sources is a plus.

Benefits:

• Competitive compensation package.
• 25 days annual leave, rising to 30 with service, plus flexible bank holidays.
• Share options for everyone, when we win, we all win.
• Enhanced health insurance plans for you, your spouse and children.
• State of the art equipment (Apple Mac) to work from
• Family leave benefits, including a world class maternity pay package.
• Provident fund.
• Opportunity to work from anywhere in the world for 2 weeks of the year, after one year’s service.
• Opportunity to spend one day volunteering.
• Headspace and Spill app subscriptions to support your mental health and wellbeing.
• Subsidised gym membership.
• Online exercise and embodiment classes.
• Regular company and team days along with social activities.
• Travel to Peak’s clubhouses around the world.
• Opportunity for professional development and certifications.
• In early 2023, we moved to an organised hybrid model that allows us to get together and collaborate in person but also offers flexibility. We promote flexible working hours with our team working 3 days onsite in our clubhouses with an option of 2 days remote (subject to reasonable adjustments).

Our 4 step interview process

• Intro call - Initial intro to Peak with our People & Talent Manager, Priyavrat Singh Rathore
• Team meeting - Video Interview with two Data Scientists in the team to explore values and find out more about your technical background.
• Skills Session - You will be set a task and asked to present your work to the team followed by a discussion and questions.
• Meet leadership - Get the lowdown on Peak, our future and your career with a final chat with someone in our leadership team.

Diversity, equity & inclusion

We’re here to change the way the world works and build an amazing company that everyone loves being part of. We know diverse perspectives and experiences result in better solutions, which is why we want all of our Peakers to bring their authentic selves to work.

We’ve been striving to build a diverse and inclusive team from the outset. It’s a continuous journey, and there’s more we can do — but we’re proud of what we’ve achieved so far, which is ahead of the tech industry standard.

We’ve set targets in relation to gender and ethnicity, for now, but we know there’s more to diversity than just these two areas. We’re passionate about creating an inclusive environment for those of all ages, religions, sexual orientations, socio-economic status and for those with disabilities.

We are proud to be a Disability Confident Committed employer — a UK Government certification for organisations actively taking steps to attract, recruit and retain persons with disabilities. If you need any reasonable adjustments as part of the recruitment process, please let us know.

About Peak

Founded in Manchester in 2015 by Richard Potter, David Leitch, and Atul Sharma, Peak is on a mission to change the way the world works by democratising AI for every business.

Peak’s AI platform optimizes inventories and pricing for global industry leaders including Nike, B&M, Heidelberg Materials, and Eurocell. With a core belief that businesses need their own AI — built for their business, with their data — Peak’s pre-built AI products can be configured to fit unique requirements.

With over a decade of successful AI deployments, Peak has a proven track record of delivering rapid performance gains, helping customers increase revenues, profits, and efficiency.

Having raised $119 million in funding to date, Peak continues to accelerate AI adoption across industries through key partnerships with AWS, Snowflake, and SAP. Now part of UiPath, Peak is combining strengths to build a world-class agentic AI offering, taking enterprise AI to the next level.

www.peak.ai

@Peak_HQ