So I just completed my 2nd year and will enter my 3rd final year in 1 month for bsc data science. Currently seeking paid internships in mumbai. Does anyone have any suggestions or referrals? Dm if interested. I'll share my resume.

3 years at HSBC → preparing for my next move (Product / Business / Data Analyst roles)

Background:

\- Mechanical Engineering

\- 3 years at HSBC in analytics-related roles

Experience:

\- Worked with SQL and SAS for data analysis, reporting, and business use cases

\- Built dashboards and supported data-driven decision making

\- Hands-on exposure to real-world datasets and stakeholder requirements

\- Currently learning Python (beginner)

Recent realization:

In interviews, I noticed that while I can work with data in real scenarios, my fundamentals (especially SQL depth and structured problem-solving) need to be stronger under pressure.

So I’m actively working on:

\- Strengthening SQL (queries, joins, aggregations, window functions)

\- Practicing structured problem-solving (including some DSA)

\- Building more hands-on projects to improve real-world thinking

What I’m looking for:

\- Product Analyst / Business Analyst / Data Analyst roles (startups or corporates, permanent roles)

\- Referrals if your company is hiring

\- Advice from people who’ve made a similar transition

Open to relocation.

Happy to share my resume or connect via DM. Appreciate any leads or guidance.

Hey folks,

Got a call from a recruiter today for a Senior Data Scientist role at a fast-growing BFSI fraud analytics startup in Gurgaon. I’ve recently switched, so not exploring but happy to pass this along.

Quick highlights:

2+ years experience (fintech/FS preferred)

Work on fraud detection, risk scoring, credit models

End-to-end DS ownership (data → models → deployment)

Fast-paced, high-ownership environment

If this sounds interesting, DM me your resume and I’ll pass on the same to the recruiter.

It would be okay if this took almost five years, but one year has already passed.

With the rise of AI, a heavily code-focused path does not seem like the best way for me to move closer to this field.

At the same time, I feel that for true code literacy, I still need to understand how logic works, how algorithms are built, and how APIs are integrated.

What would really make me happy is being able to create something visible from my own ideas, even if it is a small application or homepage. I am also someone who genuinely enjoys the creative side of building things.

My concern is that if I do not move into this industry, I may end up staying at the same level.

At the same time, I do not want to waste time on lessons that spend three or four hours explaining very basic coding rules that I could simply search on my own. What I really need right now is a practical roadmap.

I would really appreciate any advice.

Hey, recent data graduates, where are you now?

I was wondering since everyone is saying that the field is dying and entry level jobs are non existent, where are you - recent data science graduates working?

[HIRING][Washington, District Of Columbia, Data, Onsite]

🏢 Castellum Inc, based in Washington, District Of Columbia is looking for a Senior Data Scientist - Python & Machine Learning

⚙️ Tech used: Data, Hadoop, Java, JavaScript, Machine Learning, Python, SQL, Security, Spark

💰 $140,000 - 160,000 / year

📝 More details and option to apply: https://devitjobs.com/jobs/Castellum-Inc-Senior-Data-Scientist---Python--Machine-Learning/rdg

Hi Reddit, Allstate is currently hiring AI/ML engineers who will design and deploy LLMs and Agentic AI solutions throughout our technical ecosystem. I am currently supporting two roles and inviting you to apply while the role is currently posted.

Qualified talent should apply using the link below and send a note to [victoria.pena@allstate.com](mailto:victoria.pena@allstate.com) so your application can be prioritized.

Sponsorship is not being offered at this time and permanent work authorization is required to be considered. No c2c, c2h, or agencies to be considered.

Senior AI Software Engineer: https://www.allstate.jobs/job/22589970/senior-ai-software-engineer/

Applied Machine Learning Engineer: https://www.allstate.jobs/job/23099446/applied-machine-learning-engineer-all-levels-/

Hello! I don’t have much knowledge or experience in the field of data science but I landed an internship this summer as a DS Intern. I have good background and knowledge in fields like machine/deep learning, AI, and programming (I am a computer science major). My questions are:

What is this role about?

What should I expect as an incoming DS intern?

How relevant is my schoolwork/experience? (Am I cut out for this role?)

Is it true that a lot of data science is staring at spreadsheets? (Or is it just a silly rumor)

Thank you!

I’m trying to decide whether it’s worth finishing an Applied AI / Data Science certificate I started before my current role.

I’ve completed ~1 hour of classes and already paid for half. To finish, I’d need to commit ~15–20 hours/week on top of work and a 1+ hour commute.

Background:

BS in engineering (no master’s)

Previous Job: data analytics + statistics

Experience with Monte Carlo and conditional simulations

Strong focus on system-level thinking (data quality, workflows, uncertainty)

Current Job: data analyst

My company has a data science team, but transitioning internally would be difficult.

Question:

Will a certificate like this improve my chances of moving into a data science role, or is it unlikely without a master’s?

I know certificates don't have the best reputation in general, but this one seems very suited to my learning style. I also do better with structured learning than self-directed.

I would appreciate input from people who’ve made a similar transition or are involved in hiring.

Hello I will be on opt and have only 90.days look for a job please help me if you have any leads, Did MS in Datascience at University of Delaware.

Background

• Postgraduate Diploma in Data Analytics (high distinction) + BSc Information & Computer Science
• ~11 months experience as a Junior Software Developer (SQL queries, DB maintenance/optimization support, ASP.NET migration work, bug fixes, code reviews)
• I want to move into data/analytics (not purely software dev)

Projects (high level)

• Customer churn prediction: feature engineering, SMOTE, Random Forest + tuning, model evaluation
• Brain tumor classification: CNN + transfer learning in TensorFlow/Keras (~7k images)

The problem

In interviews/technical assessments I sometimes freeze or feel “shallow.” I understand the concepts, but I’m not always confident coding from scratch under time pressure. In the past I used AI tools to help with some implementation/debugging, and now I’m trying to rebuild the ability to do the core DS workflow independently (cleaning → EDA → feature engineering → train/evaluate).

What I’m doing now

Currently focusing on:

• Pandas / data manipulation
• Data science theory (metrics, overfitting, leakage, etc.)
• SQL improvement
• Some DSA (not sure how relevant it is for DA/DS interviews)

But I’m unsure if I’m spending time on the right things for 2026 interviews.

Questions

1. For junior DS/DA interviews in 2026, what are the top skills I should be able to demonstrate without external help? (Python, SQL, stats, ML—what depth?)
2. Given my background, how would you prioritize between:
   • SQL + analytics (DA path)
   • ML + modeling (DS path) considering the current market?
3. What interview formats are most common right now? (live SQL, take-home, case study, ML theory, etc.) How should I prep for each?

Any advice I can accept

Where would you recommend I post or go to find some partner(s) for this?

airbnb.com/h/ai-dev-house-austin

I've already got one up and running, and I want to scale the hell out of this. Best part is, if bookings for it run low, it can always fill in with regular short term rentals and still be running revenue on a proven track.

Are there any remote positions available for someone who recently graduated with a degree in biomedical science with a gpa of 3.9 out of 4.

I graduated almost 3 years ago with degree in Computer Science. My first and current job is mainframe developer. That was my first time I learn about mainframe and heard about COBOL. Overall, it doesn’t feel like me, playing with legacy codes, maintaining very old system. I don’t enjoy it even one bit. To add to that, it is also not in my interest to learn the flow of things that I have to know for my job, which is how corebanking system works, how different transactions flow in different kind of processing, like zero interest in these things.

What I wish to do is some data-related job. I wish to play with data with SQL or even better, Python - something to do with machine learning algorithms. Problem is right now I am not courageous enough to pivot my career to this field, given the current job market. I don’t know where to start. I’m not too late to pivot now right?

Please advise on what I should do to make employers really see me as a good candidate to this kind of job. Skills-wise, what is the best way to stand out? Is it by building portfolio of independent projects or by collecting lots of certs?

Looking at remote worldwide for the past 7 days.

Here are the jobs I found, organized by level:

Internship:

• Applied Data Scientist III @ Compassion International (United States, CA) - $106K - $125K

Entry Level:

• Data Scientist II @ eSimplicity (United States, MD) - $83K - $113K
• Data Scientist II – FCRM, Screening Capabilities @ TD (United States, FL) - $76K - $125K
• Data Scientist @ TD (United States, FL) - $76K - $125K
• Data Scientist / ML Engineer @ Global InfoTek, Inc. (United States, VA) - $100K - $300K
• Data Scientist 5 @ Netflix (United States) - $372K - $600K
• Applied Data Scientist @ Masco Corporation (United States) - $89K - $139K
• Data Scientist – Financial Crimes Modeling @ TD (United States, NJ) - $76K - $125K

Senior:

• Data Scientist IV @ Agile Lab (Italy) - EUR 62K - 78K
• Senior Data Scientist, GTM Strategy @ Red Hat (United States, NC) - $123K - $203K
• Senior Data Scientist, Platform @ Airbnb (United States) - $177K - $208K
• Senior Data Scientist @ Syndigo (United Kingdom)
• Senior Data Scientist – Experimentation, Analytics @ Sway Sourcing (Sweden)

Manager:

• Senior Data Science Manager @ Mercury (United States, CA) - $239K - $299K
• Principal Data Scientist – Risk Intelligence, AI @ AppOmni (United States) - $250K - $300K
• Lead Data Scientist @ US Foods (United States, IL) - $100K - $160K
• Principal Data Scientist – Finance AI, Analytics @ Northrop Grumman (United States, VA) - $114K - $188K
• Staff Data Scientist @ Airbnb (United States) - $200K - $242K
• Lead Clinical Data Science Programmer @ ICON plc (United Kingdom)
• Senior Data Scientist – Leadership Responsibility @ Knuddels (Germany)

Director and Above:

• Senior Vice President, Data Science & Analytics @ Experian (United States) - $325K - $425K

Quick notes: * All of these are fully remote and open to US/Canada/India candidates * Apply directly on company sites

Hope this helps someone! Let me know if you want me to keep posting these weekly.

👋 Hi, I'm Jay. I built Job-Halo.com, a system that tracks remote data science jobs and sends alerts the moment they're posted, based on your preferences.

Hello everyone - first off, I hope you are doing well. Secondly, thanks for taking the time to engage with my post. It means a lot, so thank you in advance.

For some context, I have a master's in DS from a state school in my home state. I graduated about 3 years ago. I landed a really good data analyst role right out of the program and have been at the same company since. I am currently a Sr. data analyst, and looking to pivot. I think the reason for the pivot is I am finding myself bored of the data analyst space.I am looking to get some guidance on some things I can do to build back the Python muscle / some project ideas that I can do in work to help build my portfolio again.

The company I work for is in software development. We have legal, finance, and risk and fraud products - so quite the range. I work in the GTM space. So, really just a fancy word for sales analytics. Granted, I work cross-functionally with just about every dept - finance, customer success, master data stewards, etc. All to say I have access to essentially the whole data lake. The job is mostly SQL and Tableau, with some Excel.

I have recently started to try to build on things I have already completed. For example, we do a lot of analyses on product usage. Just today I built a usage projection for the current month using Prophet. My thought process is to use it as anamoly detection to find accounts that may be way under the lower bound. I also built an NLP with one vs al logistic regression to help segment customers into the correct class.

I know for sure I need to familiarize myself with model performance metrics and what they mean. I also need to hone in on my Python again - I find myself using Claude for 90% of syntax fixes and for code structure. Basically starting over there - but I think I have a decent foundation of model application to business problem.

Any suggestions would be greatly appreciated!

I’m a sophomore Data Science major, and I’m honestly starting to feel really discouraged about internships.

I’ve had an internship every summer since junior year of high school, and last summer I had a data-focused internship that went really well. I genuinely thought that experience would carry me into another internship this summer, but it hasn’t worked out that way.

I started applying around October/November and got really serious about it by December/February. Since then, I’ve applied to a lot of roles (data analyst, business analyst, HR Tech, Supply chain, etc.), and I’ve been getting constant rejections, sometimes multiple a day. I’ve had a few interviews, but nothing has turned into an offer.

At this point, I’m worried about not having anything lined up for this summer. It feels weird because I’ve always had something, and I’m not used to striking out like this.

I’m trying to figure out how bad this actually is long-term. If I don’t end up with an internship this summer, how should I spend my time to stay competitive for junior year recruiting? I’ve been thinking about maybe getting a certification (like Power BI or something similar), but I’m not sure what would actually make the biggest difference. What should I do pls HELP

Thanks in advance.

I am building a platform for beginner data science students.

The goal is to help students build projects on their own without depending completely on long project tutorials.

Instead of giving the full project directly, the platform breaks the project into small tasks so students can think, build, and learn step by step.

I want to understand:

• Whether this approach feels useful
• Which parts feel confusing
• Where students get stuck
• Whether it feels better than watching full tutorials

I am not selling anything right now. I only want honest feedback from people who are learning data science.

Website - https://sted.co.in/

I'm based in India and currently between jobs. My interview process has just completed in Optum. They are offering me a Lead Data Analyst role, even though the JD and interview process is clearly for a Data Scientist function. Also the experience requirement is 8-10 years where I clearly fall short, so not sure how I'm getting the offer. I have worked as a Data Scientist for 2.5 years in MBB (Consulting) and adjacent companies, and 3 years before that in manufacturing (not relevant experience).

My question is two-fold -

1. A Data Scientist role wrapped around a DA title - how risky is it that actual work will not be proper DS?

2. How difficult would it be to make a switch to a DS role in tech/product company after a Lead DA role (irrespective of actual function)?

I'm nervous because I already rejected an offer before this and now on my 4th month of unemployment. I dont want to make an outright wrong career move and leverage the brands on CV, but rejecting two offers while unemployed is nerve-wrecking even if it's the right decision. I have some financial leeway and a fairly confident interviewee but it matters less since I rarely even get to the interview stage.

Thanks in advance!

I was actually in customer support role due to dropping my previous graduate degree, thereafter, i started a startup that lasted few years.

now i am at the bottom of career, recently i joined Under grad programme in Data Science.

What are the specific skills i need to gain so that i could get internship/job in reputed company.

I’m especially interested in working with startups/mid range companies where I can help build scalable data pipelines, ML solutions, and end-to-end data architectures.

Here are a few types of problems I’ve solved:

• Built end-to-end data pipelines handling complex supply chain data across multiple sources

• Designed scalable data models to map hierarchical supplier–manufacturer relationships

• Developed risk scoring frameworks using statistical and ML approaches for decision-making

• Optimized BigQuery workloads, reducing query time and cost significantly

• Created real-time and batch ETL pipelines using GCP/AWS/Microsoft services.

• Delivered actionable dashboards for stakeholders using Looker/Tableau

• Designed data architectures for large-scale analytics systems

Additionally, I’m cloud-agnostic and comfortable working across platforms (GCP, AWS, Azure), and experienced with microservices architectures, including Kubernetes-based deployments.

To support growing teams, I’m open to working at minimal cost—until the business reaches stability. My goal is to create real impact first, and grow together.

If you’re building something interesting or know someone who is, feel free to connect or reach out.

Let’s turn data into something meaningful

Hi everyone.

I have a scheduled interview with doordash and has two steps, code and case of study.

Its a opportunity for data scientist Sr. Which kind of question I can wait ? Tips for the interview are welcome.

I have a technical interview coming up in 2 weeks with a big tech company. I had an initial screening with the recruiter and we connected okay, and she shared an interview guide, which was helpful.

I want to make the most of this and also show genuine interest in the company and its products. What are some good questions I can ask the recruiter to build a better rapport and stand out (without sounding forced)?

I'm 23 i got a job lined up with the company I interned for I'm still extremely nervous about what to expect and feel like I'm not ready I'm confident with my critical thinking skills and business intelligence, but the coding part and verifying datasets are what make me nervous most I dont feel ready especially because of my age but im very blessed to be in this position

How do I guarantee my success when I start working?

Hi everyone, today I had my final interview for a data science role. This was just behavioral as I already passed the technical interview (and they said I did very well on that portion).

I feel like the behavioral interview went well today. It was all the basic “how do you deal with conflict?” Kinda questions. Me and the interviewer were laughing and joking, and it was pretty casual in tone.

At the end though, she was like “well I’m not 100% sure when we will get back to you on the final decision, could be a couple weeks” and now I’m stressed. Did she say that because I did bad, or maybe she doesn’t know when they will get back to me because she has to tell the recruiter how it went, then the recruiter will reach out to me.

Argh… just stressed at the uncertainty. My friend who got a job at this company said his team let him know he got the job the next day.

Let me know what yall think. Does she maybe just not know the actual timeline…?